114: Radiology Partners’ approach to clinical AI applications: w/ Nina Kottler, MD, MS, FSIIM | Radiology Partners

Digital Pathology Podcast

MP3•Αρχική οθόνη επεισοδίου

1:14:43

Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying mathematical concepts that power modern machine learning, to help everyone grasp this technology impacting our lives–even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

πριν περίπου ένα χρόνο 54:22

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In this episode, I sit down with Dr. Nina Kottler, Associate Chief Medical Officer of Clinical AI at Radiology Partners, to dive into the evolving role of AI in radiology and how it can shape the future of digital pathology. Dr. Kottler shares her unique journey, expertise, and practical frameworks for implementing AI that enhance patient care and streamline diagnostic workflows.

Episode Highlights and Key Moments:

[00:00:45] Introduction to Dr. Nina Kottler
Dr. Kottler discusses her background in applied mathematics, her journey into medicine, and her work at Radiology Partners, where she combines clinical practice with AI innovation.
[00:04:30] Breaking Down Complex Problems in AI
Nina explains her approach to tackling large clinical challenges by breaking them down into manageable parts, a method that’s essential for developing and optimizing AI solutions.
[00:08:15] The Role of Data Orchestration
We dig into “data orchestration” and how ensuring data is aligned with the right AI model is key to producing accurate and reliable clinical outcomes.
[00:11:45] Life Cycle of an Exam in Radiology
Nina takes us through each step in the radiology workflow—from the initial patient consultation to reporting—and highlights how AI can streamline and enhance each phase.
[00:17:00] Evolution of AI Models in Healthcare
We explore how AI has evolved, from early CAD systems to today’s multimodal and transformer models, and the exciting possibilities they bring to both radiology and pathology.
[00:23:20] Addressing the Lag in AI Adoption in Healthcare
We discuss the challenge of keeping up with AI advancements while balancing patient safety, regulatory standards, and the need for reliability in clinical settings.
[00:27:50] Frameworks for Reducing Variability and Improving Accuracy
Nina shares actionable frameworks that Radiology Partners uses to reduce variability and improve diagnostic precision—strategies that pathology can learn from.
[00:32:40] AI in Workflow Optimization: Where It Has Real Impact
We discuss specific use cases in clinical workflows that show where AI can bring the greatest value, especially in enhancing patient care through optimized processes.
[00:36:50] The Power of Multimodal AI and Vision-Language Models
Combining large language models with computer vision is moving diagnostics closer to comprehensive, AI-driven care—a promising development we explore in depth.
[00:42:15] The Future of Agents in AI
We dive into the concept of “agents” in AI and how these systems may soon coordinate multiple models for more complex and precise clinical analyses.
[00:48:10] Where to Learn More about Dr. Nina Kottler’s Work
Nina shares where you can catch her upcoming talks and presentations, plus resources for staying updated on the latest in AI for radiology and digital pathology.

If you're a pathologist, radiologist, or healthcare professional curious about AI’s impact on diagnostics, this episode is packed with practical guidance on integrating AI into clinical workflows. Join us as we explore how AI is shaping the future of radiology and pathology!

Support the show

Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

125 επεισόδια

#Science #Tech #Natural Sciences #Aleksandra Zuraw, DVM, PhD #Aleksandra Zuraw #DVM #Pathology #Digital #Image #Analysis #Artificial #Intelligence #Pharma #Pharmaceutical #Healthcare #Veterinary #Clinical #Fitness #Medicine

Digital Pathology Podcast

114: Radiology Partners’ approach to clinical AI applications: w/ Nina Kottler, MD, MS, FSIIM | Radiology Partners

Digital Pathology Podcast

published πριν περίπου ένα χρόνο

Μοίρασέ το

MP3•Αρχική οθόνη επεισοδίου

Send us a text

Episode Highlights and Key Moments:

[00:00:45] Introduction to Dr. Nina Kottler
Dr. Kottler discusses her background in applied mathematics, her journey into medicine, and her work at Radiology Partners, where she combines clinical practice with AI innovation.
[00:04:30] Breaking Down Complex Problems in AI
Nina explains her approach to tackling large clinical challenges by breaking them down into manageable parts, a method that’s essential for developing and optimizing AI solutions.
[00:08:15] The Role of Data Orchestration
We dig into “data orchestration” and how ensuring data is aligned with the right AI model is key to producing accurate and reliable clinical outcomes.
[00:11:45] Life Cycle of an Exam in Radiology
Nina takes us through each step in the radiology workflow—from the initial patient consultation to reporting—and highlights how AI can streamline and enhance each phase.
[00:17:00] Evolution of AI Models in Healthcare
We explore how AI has evolved, from early CAD systems to today’s multimodal and transformer models, and the exciting possibilities they bring to both radiology and pathology.
[00:23:20] Addressing the Lag in AI Adoption in Healthcare
We discuss the challenge of keeping up with AI advancements while balancing patient safety, regulatory standards, and the need for reliability in clinical settings.
[00:27:50] Frameworks for Reducing Variability and Improving Accuracy
Nina shares actionable frameworks that Radiology Partners uses to reduce variability and improve diagnostic precision—strategies that pathology can learn from.
[00:32:40] AI in Workflow Optimization: Where It Has Real Impact
We discuss specific use cases in clinical workflows that show where AI can bring the greatest value, especially in enhancing patient care through optimized processes.
[00:36:50] The Power of Multimodal AI and Vision-Language Models
Combining large language models with computer vision is moving diagnostics closer to comprehensive, AI-driven care—a promising development we explore in depth.
[00:42:15] The Future of Agents in AI
We dive into the concept of “agents” in AI and how these systems may soon coordinate multiple models for more complex and precise clinical analyses.
[00:48:10] Where to Learn More about Dr. Nina Kottler’s Work
Nina shares where you can catch her upcoming talks and presentations, plus resources for staying updated on the latest in AI for radiology and digital pathology.

Support the show

Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

125 επεισόδια

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Digital Pathology Podcast

1
121: How Pathology Images Can Transform Cancer Understanding w/ Dr. Lija Joseph 53:53

πριν 1 day53:53

53:53

Send us a text In this episode of the Digital Pathology Podcast, I sit down with Dr. Lija Joseph, a pathologist who is redefining patient care by making pathology more accessible and understandable. Traditionally, pathology has been a “behind-the-scenes” specialty, but Dr. Joseph is changing that by directly engaging with patients, showing them their pathology slides, and empowering them with knowledge about their diagnoses. 🔬 Key Topics Covered: [00:00:00] Introduction to Patient-Centric Pathology [00:01:00] Meet Dr. Lija Joseph: Her Background and Journey [00:05:00] The Patient Who Inspired a New Approach [00:10:00] Why Patients Need to See Their Pathology Images [00:15:00] The Power of Knowledge: How Patient Awareness Improves Care [00:20:00] Overcoming Barriers to Patient-Pathologist Communication [00:25:00] How Digital Pathology Can Make This Scalable [00:30:00] The Role of Technology in Breaking Down Access Barriers [00:35:00] Convincing Healthcare Leadership to Support This Initiative [00:40:00] How Digital Pathology Can Transform Patient Outcomes 🩺 Why This Matters: Most patients never meet their pathologists—but should they? Dr. Joseph believes so. She shares powerful stories of how patients who see their own slides gain a deeper understanding of their disease, make better treatment decisions, and experience greater peace of mind. 🚀 How Digital Pathology Can Change the Future: Dr. Joseph’s approach is innovative, but digital pathology can take it even further. Imagine a world where patients don’t have to visit a hospital to see their biopsy results but can access them remotely through secure digital platforms. This technology has the potential to bridge the gap between patients and their pathologists, improving care and trust. 🎧 Tune in now to learn how pathology can become more patient-focused! #DigitalPathology #PatientCenteredCare #PathologyInnovation #AIinHealthcare Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

1
125: Direct-to-Digital Tissue Imaging | Interview with Drs. Rao and Edwards, Muse Microscopy 20:32

πριν 2 μέρες20:32

20:32

Send us a text What if we could skip glass slides altogether and go straight from fresh tissue to digital image? Muse Microscopy's SmartPath device aims to do just that, capturing diagnostic-quality images directly from fresh tissue. In this episode brought to you by Muse Microscopy, I sit down with Dr. Rao and Dr. Edwards to discuss the insights, challenges, and future of this groundbreaking technology. We explore its regulatory ramifications, change management in veterinary and human pathology, and financial feasibility. Tune in to learn why SmartPath could be a game-changer for both pathologists and patients. 00:00 Introduction to SmartPath Technology 00:54 Meet the Experts: Dr. Rao and Dr. Edwards 01:08 FDA Approval and Implementation Plans 01:35 Change Management in Pathology 01:56 Training Pathologists for SmartPath 03:48 Translational Tissue Banking and Clinical Applications 04:29 Impact on Breast Pathology 05:49 Pathologists' Reception and Adoption 14:33 Financial Viability and ROI 19:44 Conclusion and Future Prospects Links and Resources : This episode on YouTube Muse Microscopy Website SmartPath Device Demo Video Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

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124: Slide-free Digital Pathology | Deep Dive into Muse Microscopy 20:13

πριν 5 μέρες20:13

20:13

Send us a text Transforming Pathology: A Deep Dive into the Muse System This episode is sponsored by Muse Microscopy . In this episode, we explore the primary challenge of implementing digital pathology globally—digitizing the analog. A potential solution is direct-to-digital pathology, exemplified by the MUSE system by Muse Microscopy. This technology eliminates the need for glass slides and manual staining, offering rapid, non-destructive imaging of intact tissue samples. You will learn about the advantages of Muse, including faster diagnostics, improved data fidelity, and broader accessibility, particularly in remote areas. Detailed insights into the Muse workflow, imaging techniques, and potential applications in human and veterinary medicine are provided. Challenges like adoption barriers and regulatory hurdles are also addressed. Join us as we explore how the Muse system is redefining diagnostic workflows and enhancing patient outcomes. 00:00 Introduction to Digital Pathology 00:18 The Hurdle of Digitizing Analog Pathology 00:26 Direct to Digital Pathology: A Game Changer 01:46 Introduction to Muse Microscopy 02:32 How Direct to Digital Pathology Works 03:10 Advantages of Direct to Digital Pathology 04:13 Understanding Muse Technology 05:26 The Digital Pathology Workflow with Muse 14:15 Challenges and Misconceptions 15:38 The Future of Pathology 16:31 Frequently Asked Questions 18:07 Conclusion and Additional Resources 18:54 Behind the Scenes and Final Thoughts Links and Resources : Original blog post on Digital Pathology Place Website and LinkedIn YouTube playlist with more information about MUSE SmartPath Product presentation from CAP 2024 Video showing the SmartPath device at the conference booth USCAP in Boston - Muse Microscopy booth #528 Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

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122: The Role of Generative vs. Non-Generative AI in Medical Diagnostics 1:16:52

πριν 6 μέρες1:16:52

1:16:52

Send us a text In this episode of the Digital Pathology Podcast , I explore the evolving role of Generative vs. Non-Generative AI in Medical Diagnostics . As AI continues to transform the medical field, understanding the differences between these two approaches is essential for pathologists, researchers, and healthcare professionals. We break down the key concepts behind generative AI models (like ChatGPT and image-generation tools) and non-generative AI models (such as traditional machine learning for diagnostic support). I also highlight a groundbreaking seven-part AI review series published in Modern Pathology , which serves as a crucial reference for integrating AI into pathology. 🔬 Key Topics Covered: [00:00:00] Introduction and Technical Adjustments [00:02:00] Why AI Education in Pathology Is More Important Than Ever [00:04:00] Overview of the Modern Pathology AI Review Series [00:06:00] Generative vs. Non-Generative AI: What’s the Difference? [00:08:00] AI in Pathology: Current Applications and Future Potential [00:12:00] Addressing Bias and Ethical Concerns in AI Models [00:16:00] How AI Can Improve Accuracy in Medical Imaging [00:20:00] The Role of Large Language Models (LLMs) in Pathology [00:25:00] Multi-Modal AI: The Future of Integrating Imaging and Text Data [00:30:00] Real-World Use Cases and AI-Driven Diagnostics 🩺 Why This Episode Matters: AI is no longer a futuristic concept—it’s here, and it’s shaping the future of digital pathology and medical diagnostics . In this episode, I break down how AI can enhance accuracy, improve workflow efficiency, and make diagnostic insights more accessible . However, AI models also come with risks, such as bias and interpretability challenges, which we need to address responsibly. 🚀 Take Action: AI in pathology isn’t just a passing trend—it’s a paradigm shift . Whether you're a pathologist, researcher, or lab professional , this episode will give you the knowledge you need to stay ahead in the era of AI-driven diagnostics . 🎧 Listen now and explore the future of AI in pathology! 👉 Watch it here : https://www.youtube.com/live/Mq4Xwxoq_ok?si=o7bA90BlZff9iI_A #DigitalPathology #AIinHealthcare #PathologyInnovation #GenerativeAI Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

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123: Generative AI: Deeper Dive 53:22

πριν 6 μέρες53:22

53:22

Send us a text In this episode of the Digital Pathology Podcast , I take a deeper dive into Generative AI in Pathology , following the AI in Pathology series published by USCAP . AI has already begun transforming medical diagnostics, but what does Generative AI mean for digital pathology ? From synthetic data generation to multimodal AI models, this episode explores the cutting edge of AI’s role in pathology and how it’s evolving to enhance efficiency, accuracy, and patient care. 🔬 Key Topics Covered: [00:00:00] Introduction – The Evolution of AI in Pathology [00:02:00] Acknowledging the Authors Behind the AI Review Series [00:04:00] What Is Generative AI and Why Is It a Game-Changer? [00:06:00] The Cambrian Explosion of Generative AI in Medicine [00:08:00] Understanding Transformer Architectures and Cloud Computing [00:12:00] ChatGPT, DALLE, and Multi-Modal AI: What’s Next? [00:18:00] Synthetic Data Generation: A New Era for Pathology Training [00:24:00] How AI Can Pass Medical Exams and Assist Pathologists [00:30:00] Reducing Bias and Ethical Concerns in AI-Based Diagnostics [00:38:00] Real-World Use Cases of AI-Generated Pathology Reports [00:45:00] The Future of Generative AI in Digital Pathology 🩺 Why This Episode Matters: Generative AI is no longer just a concept—it’s already being used to train models, generate high-fidelity pathology images, and assist with diagnostic decision-making . However, challenges remain, from bias in AI models to the need for domain-specific training data . Understanding these factors is essential for pathologists and medical professionals who want to leverage AI responsibly in clinical practice . 🚀 What’s Next? This episode discusses not just what Generative AI is but how it can reshape pathology workflows and where we’re headed next. If you’re interested in how AI can improve efficiency and accuracy in diagnostics, this is a conversation you don’t want to miss . 🎧 Listen now to explore the future of Generative AI in pathology! 👉 Watch or listen here : https://www.youtube.com/live/hRv9GmMWSjk?si=OEg8gafqRA2M_zlx #DigitalPathology #AIinHealthcare #PathologyInnovation #GenerativeAI Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

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120: DigPath Digest #21 | AI's Role in Prostate & Breast Cancer Diagnosis and Collaborative Annotation Tools 46:03

πριν 6 weeks46:03

46:03

Send us a text Welcome to the 21st edition of DigiPath Digest! In this episode, together with Dr. Aleksandra Zuraw you will review the latest digital pathology abstracts and gain insights into emerging trends in the field. Discover the promising results of the PSMA PET study for prostate cancer imaging, explore the collaborative open-source platform HistioColAI for enhancing histology image annotation, and learn about AI's role in improving breast cancer detection. Dive into topics such as the role of AI in renal histology classification, the innovative TrueCam framework for trustworthy AI in pathology, and the latest advancements in digital tools like QuPath for nephropathology. Stay tuned to elevate your digital pathology game with cutting-edge research and practical applications. 00:00 Introduction to DigiPath Digest #21 01:22 PSMA PET in Prostate Cancer 06:49 HistoColAI: Collaborative Digital Histology 12:34 AI in Mammogram Analysis 17:21 Blood-Brain Barrier Organoids for Drug Testing 22:02 Trustworthy AI in Lung Cancer Diagnosis 30:09 QuPath for Nephropathology 35:30 AI Predicts Endocrine Response in Breast Cancer 40:04 Comprehensive Classification of Renal Histologic Types 45:02 Conclusion and Viewer Engagement Links and Resources : Subscribe to Digital Pathology Podcast on YouTube Free E-book "Pathology 101" YouTube (unedited) version of this episode Try Perplexity with my referral link My new page built with Perplexity HistoColAI Github Page Publications Discussed Today: 📰 Can PSMA PET detect intratumour heterogeneity in histological PSMA expression of primary prostate cancer? Analysis of [68Ga]Ga-PSMA-11 and [18F]PSMA-1007 📰 HistoColAi: An open-source web platform for collaborative digital histology image annotation with AI-driven predictive integration 📰 Advanced tissue technologies of blood-brain barrier organoids as high throughput toxicity readouts in drug development 📰 Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images 📰 GNCnn: A QuPath extension for glomerulosclerosis and glomerulonephritis characterization based on deep learning 📰 Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-positive breast cancer 📰 Leveraging explainable AI and large-scale datasets for comprehensiv Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

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119: DigitPath Digest #19 | Cytology's Digital Revolution, Prostate Cancer Tsunami + Live AI Demo 31:53

πριν 8 weeks31:53

31:53

Send us a text In this episode of the Digital Pathology Podcast, you will learn about cytology's entrance into the digital pathology space, including successful AI and scanner implementations. We cover AI's role in rapid on-site evaluation for lung cancer and share insights on a looming prostate cancer surge and how digital pathology and AI can help. I You will also listen to a live demo of me using an AI assistant to decode a scientific paper in real-time. Tune in to stay on top of the digital pathology research in 2025! 00:00 Welcome to DigiPath Digest 00:53 Introduction and New Year Greetings 01:41 Diving into DigiPath Digest 01:44 AI in Respiratory Cytology 06:11 The Role of AI in Pathology 09:49 Multi-Omics and AI 11:28 Radiomics and Pathomics 14:44 Live Q&A and Future Plans 20:09 Prostate Cancer Tsunami 22:34 Thyroid Cytology and Live AI-Assistant demo 31:07 Conclusion and the option to send texts :) Links and Resources : Subscribe to Digital Pathology Podcast on YouTube Free E-book "Pathology 101" YouTube (unedited) version of this episode Try Perplexity with my referral link My new page built with Perplexity Publications Discussed Today: 📝 Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology 📝 Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization 📝 A machine learning approach to predict HPV positivity of oropharyngeal squamous cell carcinoma 📝 The uropathologist of the future: getting ready with intelligence for the prostate cancer tsunami 📝 Artificial Intelligence and Whole Slide Imaging Assist in Thyroid Indeterminate Cytology: A Systematic Review Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

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118: Why are So Few Pathologists Attending Digital Pathology Conferences 30:51

πριν 13 weeks30:51

30:51

Send us a text In this episode, I’m joined by Dr. Giovanni Lujan, Nick Best, and Dr. Alae Kawam to explore a topic that hits close to home for many of us in digital pathology: why do so few pathologists attend digital pathology conferences? We delve into the barriers, opportunities, and actionable solutions that can help bridge this gap and drive the adoption of digital pathology across the profession. What You’ll Hear in This Episode: Startling Observations (00:02:00) : Only 10% of attendees at some digital pathology conferences are pathologists. Why is this the case, and what does it mean for the future of the field? Barriers to Adoption (00:04:00) : From time constraints to a lack of institutional support, we unpack the key challenges stopping pathologists from going digital. Mentorship and Collaboration (00:09:00): How mentorship programs can connect seasoned professionals with early-career pathologists to share knowledge and drive adoption. The Role of the Next Generation (00:15:00) : Insights into how young pathologists can lead the way with their enthusiasm and fresh perspectives. Engaging the Skeptics (00:07:00) : Strategies to introduce hesitant or resistant pathologists to the transformative power of digital tools. Global Comparisons (00:10:00) : What can the U.S. learn from Europe and Asia about accelerating digital pathology adoption? Leveraging Leadership and Advocacy (00:19:00) : How young pathologists can work with leadership to introduce digital pathology as a standard practice in their organizations. The Impact of Digital Pathology on Work-Life Balance (00:20:00) : Exploring how remote sign-outs and shorter turnaround times can enhance both patient care and pathologists’ quality of life. Making Digital Pathology the Norm (00:24:00) : Ideas for shifting digital pathology from a secondary option to the standard of care, addressing common fears and misconceptions. Future Plans and Next Steps (00:28:00) : A look at actionable steps for advancing digital pathology through podcasts, mentorship, and departmental advocacy. Key Takeaways: This conversation isn’t just about identifying challenges—it’s about solutions. We discuss how collaboration, leadership, and individual responsibility can drive meaningful change in digital pathology. Whether you’re a seasoned pathologist or just starting your career, this episode offers inspiration and actionable ideas to make digital pathology a core part of the profession. Connect With Us: Share your thoughts on why more pathologists aren’t attending these conferences. What’s holding them back, and what changes would you like to see in your department? Let’s keep this important conversation going! Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

1
117: Tertiary Lymphoid Structures in Colorectal Cancer Prognosis | Dr. Aleks + AI 22:15

πριν 13 weeks22:15

22:15

Send us a text Leveraging AI for Deep Insights into Tertiary Lymphoid Structures in Colorectal Cancer In this episode of the Digital Pathology Podcast, I introduce 'Aleks + AI,' a new experimental series leveraging Google's Notebook LM to delve deeper into scientific literature. Today's focus is on tertiary lymphoid structures (TLS) and their potential to predict colorectal cancer prognosis. We discuss a study published in the October 2024 issue of Precision Clinical Medicine, exploring different methods of quantifying TLS using digital pathology and AI. The paper title is: "Comparative analysis of tertiary lymphoid structures for predicting survival of colorectal cancer: a whole-slide images-based study" The findings highlight TLS density as a reliable predictor of survival and its correlation with immune responses and microsatellite instability. We also touch upon the potential for AI to streamline TLS analysis in clinical settings and the broader implications for personalized medicine. Join us as we dive into the intersection of digital pathology and computer science, featuring insights and commentary from my AI co-hosts, Hema and Toxy. 00:00 Welcome and Introduction 00:45 Introducing the New AI Tool: Notebook LM by Google 01:11 Experimental Series: "Aleks + AI" 02:06 Deep Dive into Tertiary Lymphoid Structures (TLS) 03:18 Understanding TLS and Their Role in Colorectal Cancer 04:20 Quantification Methods and Key Findings 05:02 Implications for Personalized Medicine 09:02 AI in TLS Analysis and Future Prospects 11:00 CMS Classification and TLS Density 12:08 Study Limitations and Future Directions 15:40 Final Thoughts and Wrap-Up 16:28 Feedback and Future Plans THIS EPISODE'S RESOURCES 116: DigiPath Digest #18 | Federated Learning in Pathology. Developing AI Models While Preserving Privacy PUBLICATION DISCUSSED TODAY 📝 Comparative analysis of tertiary lymphoid structures for predicting survival of colorectal cancer: a whole-slide images-based study 🔗 https://academic.oup.com/pcm/article/7/4/pbae030/7826772 📱 Send us a text Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

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116: DigiPath Digest #18 | Federated Learning in Pathology. Developing AI Models While Preserving Privacy 26:33

πριν 14 weeks26:33

26:33

Send us a text In today's DigiPath Digest, we delve into federated learning, a decentralized approach to AI training that preserves data privacy. I discuss recent papers from PubMed and share my experiences experimenting with AI tools like Perplexity and Gemini for research efficiency. You will also get updates on upcoming plans, including leveraging AI to share more podcasts with you. Did I mention that this is the last livestream of the year as I head to Poland for Christmas? No More DigiPath Digests. We got to number 18 (I overestimated it a bit in the podcast), and you have been instrumental in continuing this series! Big THANK YOU to all the digital Pathology #TRLBLZRS showing up every Friday morning for this! Join me as we tackle the nuances of federated learning and its impact on healthcare and pathology. 00:00 Introduction and Greetings 00:18 Today's Topic: Federated Learning 00:57 AI Tools and Updates 04:39 Federated Learning in Detail 08:03 Challenges and Benefits of Federated Learning 11:21 Exploring More Papers and Future Plans 22:53 Wrapping Up and Final Thoughts Links and Resources : Subscribe to Digital Pathology Podcast on YouTube Free E-book "Pathology 101" YouTube (unedited) version of this episode Try Perplexity with my referral link My new page built with Perplexity Publications Discussed Today: 📝 Privacy-preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine 🔗 https://pubmed.ncbi.nlm.nih.gov/39610333/ 📝 A review on federated learning in computational pathology 🔗 https://pubmed.ncbi.nlm.nih.gov/39582895/ If you enjoyed this episode, please subscribe and leave a review on your podcast listening App! Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

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115: Pathology Meets AI: Combining Veterinary and Medical Pathology for Digital Advancements w/ Richard Doughty, DVM, MD, MSc AIFORIA 1:06:06

πριν 14 weeks1:06:06

1:06:06

Send us a text This episode features a conversation with Dr. Richard Doughty, Senior Medical Advisor at Aiforia Technologies, whose dual training in veterinary and medical pathology offers a unique perspective on the intersections of these fields. Together, we explore the challenges, opportunities, and innovations shaping digital pathology today. What You’ll Learn in This Episode: [00:00:00] Challenges in Pathology Today Discussing the pathologist shortage, delayed diagnoses, and how AI can address these issues. [00:03:00] A Pathologist’s Dual Perspective Dr. Doughty shares his journey of becoming both a veterinary and medical pathologist, and what this means for pathology innovation. [00:08:00] AI’s Role in Pathology Insights into how clinician-centric AI tools like Aiforia are designed to improve diagnostic workflows and outcomes. [00:14:00] Addressing Challenges in AI Integration Strategies for overcoming hurdles like algorithm aversion, skill retention, and fostering trust in AI systems. [00:22:00] Preparing Future Pathologists The importance of incorporating AI training into residency programs and creating a digitally savvy workforce. [00:44:00] How to Implement AI Effectively Practical advice on selecting tools, collaborating with providers, and setting realistic goals for AI adoption in practice. Resources and Links Mentioned: Learn More About Aiforia: https://www.aiforia.com/ Download Digital Pathology 101 Contact Dr. Richard Doughty: richard.doughty@aiforia.com Watch more videos created together with Aiforia: VIDEO PLAYLIST This episode is supported by Aiforia Technologies, leaders in AI-powered solutions for digital pathology. Do you know someone who should listen to this episode? Share it with them! Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

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114: Radiology Partners’ approach to clinical AI applications: w/ Nina Kottler, MD, MS, FSIIM | Radiology Partners 54:22

πριν 17 weeks54:22

54:22

Send us a text In this episode, I sit down with Dr. Nina Kottler, Associate Chief Medical Officer of Clinical AI at Radiology Partners, to dive into the evolving role of AI in radiology and how it can shape the future of digital pathology. Dr. Kottler shares her unique journey, expertise, and practical frameworks for implementing AI that enhance patient care and streamline diagnostic workflows. Episode Highlights and Key Moments: [00:00:45] Introduction to Dr. Nina Kottler Dr. Kottler discusses her background in applied mathematics, her journey into medicine, and her work at Radiology Partners, where she combines clinical practice with AI innovation. [00:04:30] Breaking Down Complex Problems in AI Nina explains her approach to tackling large clinical challenges by breaking them down into manageable parts, a method that’s essential for developing and optimizing AI solutions. [00:08:15] The Role of Data Orchestration We dig into “data orchestration” and how ensuring data is aligned with the right AI model is key to producing accurate and reliable clinical outcomes. [00:11:45] Life Cycle of an Exam in Radiology Nina takes us through each step in the radiology workflow—from the initial patient consultation to reporting—and highlights how AI can streamline and enhance each phase. [00:17:00] Evolution of AI Models in Healthcare We explore how AI has evolved, from early CAD systems to today’s multimodal and transformer models, and the exciting possibilities they bring to both radiology and pathology. [00:23:20] Addressing the Lag in AI Adoption in Healthcare We discuss the challenge of keeping up with AI advancements while balancing patient safety, regulatory standards, and the need for reliability in clinical settings. [00:27:50] Frameworks for Reducing Variability and Improving Accuracy Nina shares actionable frameworks that Radiology Partners uses to reduce variability and improve diagnostic precision—strategies that pathology can learn from. [00:32:40] AI in Workflow Optimization: Where It Has Real Impact We discuss specific use cases in clinical workflows that show where AI can bring the greatest value, especially in enhancing patient care through optimized processes. [00:36:50] The Power of Multimodal AI and Vision-Language Models Combining large language models with computer vision is moving diagnostics closer to comprehensive, AI-driven care—a promising development we explore in depth. [00:42:15] The Future of Agents in AI We dive into the concept of “agents” in AI and how these systems may soon coordinate multiple models for more complex and precise clinical analyses. [00:48:10] Where to Learn More about Dr. Nina Kottler’s Work Nina shares where you can catch her upcoming talks and presentations, plus resources for staying updated on the latest in AI for radiology and digital pathology. If you're a pathologist, radiologist, or healthcare professional curious about AI’s impact on diagnostics, this episode is packed with practical guidance on integrating AI into clinical workflows. Join us as we explore how AI is shaping the future of radiology and pathology! Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

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113: DigiPath Digest #16 | PathVisions Recap, Ai in Breast Cancer Diagnostics and Global Health 29:29

πριν 18 weeks29:29

29:29

Send us a text Welcome back to the DigiPath Digest, fresh from PathVision! In this episode we will dive into the latest updates from the PathVision conference, covering trends in AI-driven diagnostics, the expansion of digital pathology into primary care, and the exciting new frontier of glassless pathology. Join me as I recap the highlights of PathVision and the latest updates from the digital pathology literature, including discussions on: AI Integration in Pathology : Learn how AI is advancing breast cancer diagnostics with tools like Ki-67 scoring models and multi-label AI for mammography, aimed at reducing unnecessary biopsies. Global Health & Digital Microscopy : Hear about innovative projects from Sweden and Finland focused on AI-supported digital microscopy in primary healthcare labs, bringing accessible diagnostics to underserved areas. Glassless Pathology with MUSE : Discover how glassless pathology is changing tissue imaging with MUSE (Microscopy with UV Surface Excitation), enabling diagnostics without the need for traditional glass slides. Dr. Zuraw breaks down what this means for future pathology workflows. Plus, a shout-out to the vendors and partners making these advancements possible, and insights from Dr. Zuraw’s conversations with digital pathology trailblazers from around the globe, including new developments from Asia in digital pathology education and technology. Timestamps : [0:00] PathVision Highlights & Global Attendees [5:15] AI in Diagnostic Workflows: Dr. Anil Parwani’s “Pathology Train Ride” [12:30] Moving Beyond Narrow AI: Multimodal and Foundational Models [18:45] Glassless Pathology: A New Frontier with MUSE Microscopy [25:10] Integrating Digital Microscopy in Global Health Labs [32:00] Breast Cancer Month: New Advances in AI for Diagnostics [42:00] One Health & AI for Disease Detection in Primary Care [48:30] Special Interviews: Jun Fukuoka and Asian Society of Digital Pathology Links and Resources : Subscribe to Digital Pathology Podcast on YouTube Pathology News Signify Research Monthly Recap YouTube version of this episode Publications Discussed Today: 📝 AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Protocol for a Scoping Review 🔗 https://pubmed.ncbi.nlm.nih.gov/39486020/ 📝 Ki-67 evaluation using deep-learning model-assisted digital image analysis in breast cancer 🔗 https://pubmed.ncbi.nlm.nih.gov/39478421/ 📝 A Multi-label Artificial Intelligence Approach for Improving Breast Cancer Detection With Mammographic Image Analysis 🔗 https://pubmed.ncbi.nlm.nih.gov/39477432/ 📝 A comprehensive evaluation of an artificial intelligence based digital pathology to monitor large-scale deworming programs against soil-transmitted helminths: A study protocol 🔗 https://pubmed.ncbi.nlm.nih.gov/39466830/ If you enjoyed this episode, please subscribe and leave a review to Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

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112: AI's GROWING ROLE IN THE FUTURE OF PATHOLOGY W/ Adam Cole and Jason Camilletti 1:13:09

πριν 18 weeks1:13:09

1:13:09

Send us a text In this episode, I meet with Adam Cole, MD , and Jason Camilletti about how digital pathology transforms the field. Adam, the CEO of TruCore Pathology, and Jason, the CEO of PathNet Labs, share their unique journeys from the military to becoming digital pathology leaders. We explore their experiences, challenges, and innovations in integrating AI and digital tools into their practices. Key Topics Discussed: [00:00:00] Introduction to AI in Pathology [00:01:00] Adam and Jason’s Military Backgrounds [00:05:00] Adam’s Story of Becoming a Mobile Pathologist [00:10:00] The Move to Fully Digital Pathology [00:14:30] AI’s Role in Pathology [00:20:00] Challenges in Implementing Digital Pathology [00:25:00] Improving Patient Outcomes with Digital Tools [00:29:00] Digital Pathology’s Impact on Patient Care [00:38:00] Using AI for Quantifying Tumor Volume [00:40:00] The Role of AI in Enhancing Diagnostics Adam and Jason emphasize the immense potential of AI in pathology, but also the need for thoughtful integration. The future of pathology lies in using digital tools to provide faster, more accurate diagnoses while maintaining the critical human element. Tune in to learn how AI is reshaping the field and what it means for both pathologists and patients. THIS EPISODE'S RESOURCES: TruCore website PathNet Website OTHER EPISODES YOU MIGHT LIKE: The Evolution of Digital Pathology – from Improved Histology Quality to Fair Use of Pathology Data w/ Matthew O. Leavitt, DDx Foundation Achieving work-life balance in medicine as a pathologist with digital pathology w/ Todd Randolph, MD Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

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111: FDA and LDT's what does it actually mean for the labs? Kitchen chat w/ Dr. Thomas Nifong 21:52

πριν 20 weeks21:52

21:52

Send us a text What does the FDA jurisdiction for LDTs mean for the labs? Do they need to worry? How do they need to change the way they operate? In this episode, I talk with Dr. Thomas Nifong, a clinical pathologist and VP of CDX operations at Acrovan Therapeutics, about the recent FDA ruling on laboratory-developed tests (LDTs) issued on May 6th, 2024. We discuss the implications of considering LDTs as medical devices, requiring regulation, and explore the authority of FDA versus CLIA. The conversation also covers historical contexts, practical implications of regulatory changes, and the roles of organizations like CAP, ACLA, and AMP in legal challenges against the FDA. We dive into the differences in requirements between CLIA and FDA, New York's alternative approval route, and potential impacts on lab operations and compliance. Join us for an insightful conversation filled with essential information for those in the field of molecular pathology. 00:00 Introduction and Special Guest Announcement 00:24 FDA's New Rule on Laboratory Developed Tests (LDTs) 01:58 Recording the Podcast: A Casual Lunch Conversation 03:47 Understanding FDA's Authority Over Medical Devices 08:07 Disputes and Legal Challenges 12:03 Practical Implications and Industry Reactions 12:47 Understanding FDA's Focus: Safety and Efficacy 14:11 The Role of CMS and Medical Necessity 14:48 Congressional Involvement and Legal Authority 16:06 Impact on Labs and Future LDTs 18:33 Quality Systems and Compliance 20:16 Modifications and Software Updates 21:16 Conclusion and Next Steps Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

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110: Can AI Improve Veterinary Diagnostics and Academic Efficiency w/ Candice Chu, DVM, PhD, DACVP, Texas A&M 41:06

πριν 21 weeks41:06

41:06

Send us a text In this episode, I had a fascinating conversation with Candice Chu, DVM, PhD, DACVP, about how artificial intelligence (AI) is reshaping veterinary diagnostics and education. Candice, a clinical pathologist and educator at Texas A&M, is using AI tools like ChatGPT to improve efficiency in clinical workflows and academic processes. We explored the practical applications of AI, ethical concerns, and its future impact on veterinary medicine. Key Topics Discussed: [00:00:00] Introduction to AI in Veterinary Education and Diagnostics I ask Candice how AI is changing veterinary education and diagnostics, and she explains how AI is boosting efficiency in both areas. [00:01:00] Candice’s Journey in Veterinary Medicine Candice shares her journey from Taiwan to the U.S., her career in veterinary pathology, and becoming an educator at Texas A&M. [00:05:00] Custom GPT Model for Clinical Pathology Candice describes the development of her custom GPT model for clinical pathology and its role in improving diagnostic efficiency. [00:10:00] AI Tools for Academic and Clinical Efficiency We talk about how AI tools reduce repetitive tasks, giving professionals more time for critical thinking and decision-making. [00:14:30] Ethical Concerns When Using AI in Veterinary Medicine Candice emphasizes the ethical responsibility of using AI, highlighting the importance of human judgment in AI-assisted diagnostics. [00:20:00] How Veterinary Students Can Leverage AI Candice shares tips on how students can use AI to enhance learning, from simplifying research to generating case questions. [00:29:00] AI’s Role in Academic Writing and Veterinary Practice We discuss how AI tools streamline academic writing and research, and how AI will continue shaping veterinary practice in the future. [00:39:00] Critical Thinking and AI in Veterinary Medicine Candice and I conclude by discussing how critical thinking and professional responsibility are essential when using AI tools. Candice highlighted the transformative role AI can play in both veterinary education and diagnostics, improving efficiency while requiring responsible use. While AI tools like ChatGPT offer many benefits, the human element—our critical thinking and judgment—remains crucial in ensuring accurate results and ethical practices. This episode provides practical insights on how veterinary professionals, educators, and students can harness AI to streamline workflows and improve diagnostic accuracy. Be sure to listen to the full conversation for actionable tips on integrating AI into your practice! EPISODE RESOURCES: About Dr. Candice Chu (Including her social media and achievements) Candice's Paper Undermind AI Youtube Episode of this Episode Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

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109: How AI is Transforming Veterinary Diagnostics w/ Richard Fox, DVM, Dipl ECVP | Aiforia 1:03:30

πριν 21 weeks1:03:30

1:03:30

Send us a text In this episode, Dr. Richard Fox shares how AI is transforming veterinary diagnostics. From his early career to the world of AI, Dr. Fox offers practical insights into the challenges, opportunities, and innovations that AI brings to pathology. Tune in to learn how AI is enhancing workflow efficiency, diagnostic precision, and the future direction of veterinary pathology. [00:00] Introduction – Introduction to Dr. Richard Fox and his expertise in veterinary pathology and AI. [03:00] Dr. Fox’s Career Journey – His shift from veterinary practice to pathology and AI. [08:00] Entering the AI Space – How Dr. Fox became involved in AI, including his work with Aiforia. [15:00] AI in Diagnostics – AI’s impact on diagnostic workflows and speeding up tasks. [22:00] Quality Control in AI Models – Ensuring AI model accuracy and the importance of data consistency. [28:00] AI Model Validation Challenges – Overcoming issues with model validation and retraining. [35:00] Integrating AI into Workflows – How AI fits into veterinary pathology workflows and practical considerations. [40:00] Future of AI in Pathology – Predictions on the future trends in AI and on-premises diagnostics. [50:00] Common Questions About AI – Addressing concerns like AI replacing pathologists and optimizing workflows. [58:00] Conclusion – Key takeaways and how to get started with AI in veterinary diagnostics. The Episodes Resources: Contact Aiforia Richard Fox's LinkedIn Profile Richard Fox's Email Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

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108: DigiPath Digest #14 (AI in Pathology: Case Prioritization, Kidney Biopsy Analysis and the Need for Consistent TIL Quantification). 32:40

πριν 22 weeks32:40

32:40

Send us a text In this 14th episode of DigiPath Digest, I introduce a new course on AI in pathology, designed to help pathologists understand and confidently navigate AI technologies. The episode focuses on various research studies that highlight the integration and effectiveness of AI in pathology, particularly in colorectal biopsies and kidney transplant biopsies, emphasizing the importance of seamless workflow integration. You will also learn about challenges in manual assessment of tumor-infiltrating lymphocytes and HER2 expression in breast cancer. I advocate for more consistent and precise AI-driven approaches. And there an opportunity for a discounted beta test of the new AI course . 00:00 Welcome to DigiPath Digest #14 00:24 New AI Course Announcement 01:51 Deep Learning in Colorectal Biopsies 09:17 AI in Kidney Biopsy Evaluation 16:12 Automated Scoring of Tumor Infiltrating Lymphocytes 24:22 AI for HER2 Expression in Breast Cancer 31:13 Conclusion and Course Details THIS EPISODE'S RESOURCES 📰 A deep learning approach to case prioritisation of colorectal biopsies 🔗 https://pubmed.ncbi.nlm.nih.gov/39360579/ 📰 Galileo-an Artificial Intelligence tool for evaluating pre-implantation kidney biopsies 🔗 https://pubmed.ncbi.nlm.nih.gov/39356416/ 📰 Automated scoring methods for quantitative interpretation of Tumour infiltrating lymphocytes (TILs) in breast cancer: a systematic review 🔗 https://pubmed.ncbi.nlm.nih.gov/39350098/ 📰 Precision HER2: a comprehensive AI system for accurate and consistent evaluation of HER2 expression in invasive breast Cancer 🔗 https://pubmed.ncbi.nlm.nih.gov/39350085/ ▶️ YouTube Version of this Episode: 🔗 https://www.youtube.com/live/jkT8dTxelt4?si=xT6MNH7O4HuUnAN6 📕 Digital Pathology 101 E-book 🔗https://digitalpathology.club/digital-pathology-beginners-guide-notification 🤖 "Pathology's AI Makeover" Online Course 50% OFF 🔗 Let me know that you are interested in LinkedIn (just 10 spots available) Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

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107: DigiPath Digest #13 (Revolutionizing Pathology with AI: Insights from PD-1 to Prostate Cancer Predictions) 23:34

πριν 22 weeks23:34

23:34

Send us a text Good morning, digital pathology trailblazers! Welcome to another exciting exploration of digital pathology and AI. I’m thrilled to have our global community here with us today from so many different time zones. Before we dive into today's content, a quick note: my equipment is being a bit finicky, but that’s life in the digital world! Integrating Image Analysis with AI Let's kick off with a recap of some recent updates. Yesterday, I had the privilege of presenting to a mixed group at Cincinnati Children’s Hospital. We discussed AI in image analysis, an essential tool bridging radiology and pathology as these fields rapidly evolve with new technologies like foundation models and large language models. A diverse audience—ranging from radiologists to pathologists—prompted me to adapt my presentation style on the spot. It was a dynamic discussion about the advancements in healthcare that shared perspectives from both sides. Lymphovascular Invasion: A Case Study Our first paper today focuses on a deep learning model for identifying lymphovascular invasion (LVI) in lung adenocarcinoma. This significant prognostic factor is crucial for advancing diagnostic consistency and reliability. Unlike broad foundation models, this work engages with dedicated image analysis applications targeting specific diagnostic challenges. The study demonstrated reduced pathologist evaluation time by nearly 17% and even more in complex cases, aligning with previous findings that AI enhances efficiency by around 21%. AI Collaborations: Human and Veterinary Pathology Next, we delve into a collaborative effort between human and veterinary pathologists, emphasizing the promise of AI integration in telepathology and digital pathology. These fields are converging to enhance information exchange, teaching, and research. I’m particularly excited about this paper due to my own veterinary pathology background and the potential it offers for both educational and clinical practices. Spatial Profiling and Immuno-Oncology We then journey into the intricate landscape of immuno-oncology with a study on PD-1 and PD-L1 in osteosarcoma microenvironments. Utilizing deep learning and multiplex fluorescence immunohistochemistry, researchers highlighted the spatial orchestration of these markers, providing insights into potential immunotherapeutic strategies. This work is an exemplar of how AI can illuminate complex biological landscapes, offering a path for future therapies. Conclusion Thank you all for joining this vibrant discussion. Whether you’re tuning in from early morning in Atlanta or late at night in Algeria, your engagement enriches our learning experience. Keep an eye out for more content and upcoming courses designed to unpack these groundbreaking developments in AI and digital pathology. Until next time, keep blazing trails in digital pathology! Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

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106: Blind expert pathology opinions enabled digital pathology help win legal cases w/ Stephanie Franckewitz, JD, MBA 56:03

πριν 22 weeks56:03

56:03

Send us a text The episode explores the concept of blind review , a process designed to eliminate hindsight bias by allowing medical experts to evaluate cases without knowing the outcome or the hiring party. Stephanie Franckewitz, JD, MBA, founder of Blind Review, discusses its application in legal cases, particularly for digital pathology and radiology. By providing an unbiased expert opinion, blind review aids the defense and plaintiff parties in court, increasing the chances of a favorable verdict. Stephanie outlines her journey from a medical malpractice defense lawyer to starting Blind Review and highlights the potential for digital pathology to revolutionize the legal process, reduce bias, and improve case outcomes. Collaboration with platforms like PathPresenter enables pathology slides to be reviewed efficiently and effectively within a legal context. This approach benefits both defendants and plaintiffs by ensuring objective evaluations and enhancing the credibility of expert testimonies in trials. 00:00 Introduction to Blind Review 01:19 The Role of Digital Pathology in Legal Cases 02:16 Stephanie Franke Reid's Journey 07:19 Challenges in Traditional Expert Reviews 10:09 Implementing Blind Review in Pathology 18:16 Collaboration with PathPresenter 25:43 Streamlining the Legal Process with Digital Pathology 26:51 Collaborative Tools for Legal Experts 27:20 Path Presenter: A Game Changer for Attorneys 28:17 Understanding Pathology for Juries 29:20 Streamlining Case Preparation with Path Presenter 31:54 Setting Up a Blind Review Process 35:38 The Gold Standard of Blind Review 41:53 Impact of Blind Review on Legal Outcomes 49:49 Empowering Legal and Medical Professionals 54:50 Conclusion and Call to Action - contact Stephanie THIS EPISODE'S RESOURCES Stephanie's LinkedIn Profile The Blind Review Website Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

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105: Artificial intelligence in pathology Part 1 - the presentation I gave on the day I got engaged. 26:34

πριν 23 weeks26:34

26:34

Send us a text In this episode, I celebrate another milestone of the Digital Pathology Place YouTube channel that was achieved thanks to you, my digital pathology trailblazer, reflecting on its journey since its inception in 2019. I delve into the developments in digital pathology, focusing on the first video I ever published on YouTube about AI in pathology, highlighting trends, tools, and challenges in the field. The video was based on a presentation I gave on the day I got engaged, so if you want to know the whole story listen in. I explain key concepts like - artificial intelligence, - machine learning, and - deep learning, and discuss - How could AI eventually support pathology practice despite current challenges? 00:00 Welcome and AI Co-Host Feedback 00:19 YouTube Monetization Milestone 01:18 Reflecting on the First Video 02:47 Special Day and Personal Story 05:06 Introduction to AI in Pathology 07:26 AI Terminology and Concepts 13:17 Current Status of AI in Pathology 17:33 Challenges and Future of AI in Pathology 22:42 Conclusion and Call to Action 23:30 Updates and Future Plans THIS EPISODE'S RESOURCES The YouTube version of "AI in Pathology" first video The updated "Artificial Intelligence in Pathology" video (coming soon in podcast version) Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

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104: DigPath Digest #12 (AI in Pathology: From Retinal Screening to Global Cancer Diagnostics + my new AI Co-Hosts) 33:43

πριν 24 weeks33:43

33:43

Send us a text In this episode of DigiPath Digest you will learn about the development of AI models for glaucoma screening using fundus images, the use of AI in detecting metastatic deposits in colorectal cancer, and leveraging immunofluorescence data to reduce pathologist annotation requirements. Dr. Aleks also invited two AI Co-hosts and shared personal reflections on AI's role in the industry and invites feedback from listeners on AI-generated content. 00:00 Introduction to the Livestream Disaster 00:24 AI to the Rescue: Enhancing Audio Quality 00:38 Meet the AI Co-Hosts 01:04 Welcome to the Digital Pathology Podcast 01:30 Technical Difficulties and Audience Interaction 02:49 Exploring AI in Veterinary Medicine 04:34 Hybrid Convolutional Neural Network for Glaucoma Screening 07:49 Model for Detecting Metastatic Deposits in Lymph Nodes 11:23 Leveraging Immunofluorescence Data for Lung Tumor Segmentation 18:05 AI-Generated Content and Future Plans 21:37 AI Co-Hosts Take Over 32:42 Conclusion and Audience Feedback TODAY'S EPISODES RESOURCES 📰 Hybrid convolutional neural network optimized with an artificial algae algorithm for glaucoma screening using fundus images 🔗https://pubmed.ncbi.nlm.nih.gov/39301801/ 📰 Automatic segmentation of esophageal cancer, metastatic lymph nodes and their adjacent structures in CTA images based on the UperNet Swin network 🔗https://pubmed.ncbi.nlm.nih.gov/39300922/ 📰 Retrosynthetic analysis via deep learning to improve pilomatricoma diagnoses 🔗https://pubmed.ncbi.nlm.nih.gov/39298885/ 📰 Obesity-Associated Breast Cancer: Analysis of Risk Factors and Current Clinical Evaluation 🔗 https://pubmed.ncbi.nlm.nih.gov/39287872/ 📰 Model for detecting metastatic deposits in lymph nodes of colorectal carcinoma on digital/ non-WSI images 🔗 https://pubmed.ncbi.nlm.nih.gov/39285483/ 📰 Leveraging immuno-fluorescence data to reduce pathologist annotation requirements in lung tumor segmentation using deep learning 🔗 https://pubmed.ncbi.nlm.nih.gov/39284813/ 📰 Bayesian Landmark-based Shape Analysis of Tumor Pathology Images 🔗 https://pubmed.ncbi.nlm.nih.gov/39280355/ 📰 Globalization of a telepathology network with artificial intelligence applications in Colombia: The GLORIA program study protocol 🔗 https://pubmed.ncbi.nlm.nih.gov/39280257/ 📰 Towards next-generation diagnostic pathology: AI-empowered label-free multiphoton microscopy 🔗 https://pubmed.ncbi.nlm.nih.gov/39277586/ 📰 Sex differences in sociodemographic, clinical, and laboratory variables in childhood asthma: A birth cohort study 🔗 https://pubmed.ncbi.nlm.nih.gov/39019434/ Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

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103: DigiPath Digest #11 (Pathology & AI: Metastasis Detection, Fast Annotations & Foundation Models) 35:25

πριν 24 weeks35:25

35:25

Send us a text In this episode of DigiPath Digest , we review the latest AI developments in digital pathology described in the literature. I explore how AI is pushing the boundaries of metastasis detection, breast cancer treatment predictions, lung cancer research trends, and the creation of pathology foundation models. Episode Breakdown: 00:00 – Welcome & Introduction 00:36 – Sentinel Node Metastasis Detection: A discussion on the development of an AI model that can detect sentinel node metastasis in melanoma with accuracy comparable to that of pathologists. The model aids in distinguishing between nodal metastasis and intra-nodal nevus, which is crucial for accurate staging in melanoma patients. 05:01 – Predicting Breast Cancer Treatment Response: A cross-modal AI model that integrates pathology images and ultrasound data is explored. This model is designed to predict a breast cancer patient’s response to neoadjuvant chemotherapy, providing personalized insights that can guide treatment decisions. 09:59 – Global Trends in AI and Lung Cancer Pathology: This section reviews a bibliometric study that analyzed global research trends in AI-based digital pathology for lung cancer over the past two decades. The study highlights the need for increased collaboration between institutions and countries to further AI advancements in this area. 13:30 – Pathology Foundation Models: An in-depth look at a new foundation model in pathology, designed to generalize across various diagnostic tasks. This model shows significant promise in cancer diagnosis and prognosis prediction, outperforming traditional deep learning methods by addressing domain shifts across different datasets. 20:08 – Domain Shifts in AI Models: A brief discussion on the impact of domain shifts, such as variations in staining protocols and patient populations, on the performance of AI models in pathology. Strategies for mitigating these challenges are highlighted. 29:09 – Faster Annotation in Pathology: The episode concludes with a review of a study comparing manual and semi-automated annotation methods. The semi-automated approach significantly reduces the time required for annotating whole slide images, offering a more efficient solution for pathologists. Resources Mentioned: 📰 Sentinel Node Metastasis Detection in Melanoma 🔗 https://pubmed.ncbi.nlm.nih.gov/39238597/ 📰 Cross-Modal Deep Learning for Breast Cancer Response 🔗 https://pubmed.ncbi.nlm.nih.gov/39237596/ 📰 Global Bibliometric Mapping in Lung Cancer Pathology 🔗 https://pubmed.ncbi.nlm.nih.gov/39233894/ 📰 CHIEF Foundation Model for Cancer Diagnosis 🔗 https://pubmed.ncbi.nlm.nih.gov/39232164/ 📰 Improving Annotation Processes in Pathology 🔗 https://pubmed.ncbi.nlm.nih.gov/39231887/ Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

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102: DigiPath Digest #10 (From HER2 Low to Gleason Grading: AI in Digital Pathology Research) 28:42

πριν 28 weeks28:42

28:42

Send us a text Welcome to the 10th edition of the DigiPath Digest. Today, we discuss essential updates including the free availability of my 'Digital Pathology 101' book and the podcast now accessible on YouTube and YouTube Music. We dive deep into the weekly abstract, focusing on advancements such as sex-specific histopathological models for gliomas, leukocyte identification tools, and automated Gleason grading for prostate cancer. We also explore the potential of SciSpace, an AI tool for interacting with scientific papers. Interspersed with live interaction, we discuss the importance of consistency in histopathological grading and the challenges faced by pathologists. J 00:00 Introduction and Announcements 00:55 Live Interaction and Updates 05:01 Abstract Review: High-Grade Gliomas 11:45 Abstract Review: Leukocyte Identification Tool 13:24 Abstract Review: Gleason Grading in Prostate Cancer 16:31 Abstract Review: HER2 Low Prediction in Breast Cancer 24:01 Event Announcements and Closing Remarks THIS EPISODES RESOURCES: 📰 Sexually dimorphic computational histopathological signatures prognostic of overall survival in high-grade gliomas via deep learning 🔗 https://pubmed.ncbi.nlm.nih.gov/39178259/ 📰 A Digital Tool Supporting Pathology Practice and Identifying Leucocytes 🔗 https://pubmed.ncbi.nlm.nih.gov/39176939/ 📰 Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer 🔗 https://pubmed.ncbi.nlm.nih.gov/39176576/ 📰 Weakly-supervised deep learning models enable HER2-low prediction from H &E stained slides 🔗 https://pubmed.ncbi.nlm.nih.gov/39160593/ ▶️ YouTube Version of this Episode: 🔗 https://www.youtube.com/live/06QXmwojxDE?si=q59PjGkHbXCUFhwI 📕 Digital Pathology 101 E-book 🔗https://digitalpathology.club/digital-pathology-beginners-guide-notification Show less Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

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101: Image Analysis Enhances Pathology Evaluation of Preclinical Studies, not Replaces it 35:07

πριν 28 weeks35:07

35:07

Send us a text Today my guest is Danielle Brown, a fellow veterinary pathologist, the General Manager at Charles River Laboratories Reno, Nevada, and a pioneer in the use of image analysis for toxicologic pathology. Together, we explored the ever-evolving role of image analysis in preclinical studies and how it enhances, rather than replaces, the expertise of pathologists. This conversation is a deep dive into the intersection of pathology and technology, showcasing how image analysis is revolutionizing preclinical research. We also discuss the future of this technology and its implications for the industry. Join us as we navigate the intricacies of image analysis, share insights on the collaborative process between pathologists and image analysis scientists, and look ahead to the exciting advancements on the horizon. Key Discussion Points: [00:00:00] Introduction and Guest Welcome: Introducing Danielle Brown and her significant contributions to the field of toxicologic pathology. [00:02:46] The Role of Image Analysis in Preclinical Drug Development: Why image analysis is crucial for accurate and efficient evaluations in preclinical studies. [00:03:23] Challenges and Limitations of Visual Analysis: Discussing the limitations of visual analysis and how image analysis overcomes these challenges. [00:08:06] Pathologist and Image Analysis Collaboration: The importance of collaboration between pathologists and image analysis scientists to ensure accurate data interpretation. [00:13:00] Efficiency and Cost of Image Analysis vs. Pathologist Scoring: Comparing the efficiency, cost, and consistency between image analysis and traditional pathologist scoring methods. [00:15:18] Validation and Qualification of Image Analysis Algorithms: The process of validating image analysis algorithms to ensure they meet regulatory standards in a GLP environment. [00:19:54] GLP Compliance and Regulatory Considerations: How Charles River ensures GLP compliance in their image analysis processes, making them suitable for regulatory submissions. [00:23:27] Method Development for Specific Stains and Techniques: Approaching projects that require new method development or specialized procedures. [00:27:46] Future of Image Analysis in Pathology: Danielle’s insights into the future of image analysis and how emerging technologies will shape the field. This episode is packed with valuable insights and practical advice for anyone involved in preclinical research or interested in the integration of image analysis in pathology. Danielle’s expertise and our discussion provide a roadmap for leveraging image analysis to increase evaluation efficiency and the granularity of your data. THIS EPISODE'S RESOURCES: 📄 The paper Aleks and Danielle co-authored: "Developing a Qualification and Verification Strategy for Digital Tissue Image Analysis in Toxicological Pathology" 📄 Learn more about GLP-compliant tissue image analysis at Charles River Laboratories. ▶️ Watch the full episode here: Image Analysis Enhances Pathology Evaluation of Preclinical Studies, not Replaces it. Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

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100: AI in Pathology: DigiPath Digest #9 (From Retinal Assessment to Tumor Prognostics) 43:12

πριν 29 weeks43:12

43:12

Send us a text In this episode, we celebrate the 100th edition of the Digital Pathology Podcast! Thank you so much for being part of this journey! You are my Digital Pathology Trailblazers and I prepared a Digital Pathology Trailblazer manifesto for us! This is the 9th edition of DigiPath Digest, and we are attracting more and more people to this series. I am also working on a new YouTube digital pathology course and am offering the first 100 enrollments for free in exchange for feedback. During today's episode, we cover several papers including research on AI for predicting post-operative liver metastasis, validation of AI-based breast cancer risk stratification models, AI applications in clinical microbiology, advances in parasitology diagnostics, AI for retinal assessment, and AI models for detecting microsatellite instability in colorectal cancer. We also unveil a Digital Pathology Trailblazer manifesto emphasizing the ethos and dedication of the community. Join us to stay current with literature, advancements, and insights from the fascinating world of digital pathology. 00:00 Introduction and Announcements 00:25 Live Podcast Proposal 01:40 Welcome and Audience Interaction 03:05 Updates and Apologies 06:11 YouTube Course Announcement 07:23 Technical Difficulties and Solutions 10:00 Digital Pathology Club and Vendor Sessions 11:28 First Research Paper Discussion 17:38 Second Research Paper Discussion 20:07 ER Positive and HER2 Negative Patient Subgroup Analysis 20:59 Independent Prognostic Value of StratiPath Breast Solution 21:59 Challenges and Benefits of Image-Based Stratification 22:58 Technical Difficulties and Live Stream Interaction 24:22 Introduction to Paper Number Three: AI in Clinical Microbiology 28:07 AI in Parasitology Screening and Diagnosis 29:30 Physics-Informed AI for Retinal Assessment 33:08 AI for Microsatellite Instability Detection in Colorectal Cancer 36:42 YouTube Course Announcement and Digital Pathology Trailblazer Manifesto 42:25 Celebrating the 100th Episode of the Digital Pathology Podcast THE ABSTRACTS WE COVERED TODAY 📄 A novel model for predicting postoperative liver metastasis in R0 resected pancreatic neuroendocrine tumors: integrating computational pathology and deep learning-radiomics. https://pubmed.ncbi.nlm.nih.gov/39143624/ 📄 Validation of an AI-based solution for breast cancer risk stratification using routine digital histopathology images https://pubmed.ncbi.nlm.nih.gov/39143539/ 📄 Potential roles for artificial intelligence in clinical microbiology from improved diagnostic accuracy to solving the staffing crisis https://pubmed.ncbi.nlm.nih.gov/39136261/ 📄No longer stuck in the past: new advances in artificial intelligence and molecular assays for parasitology screening and diagnosis https://pubmed.ncbi.nlm.nih.gov/39133581/ 📄Physics-informed deep generative learning for quantitative assessment of the retina https://pubmed.ncbi.nlm.nih.gov/39127778/ 📄Artificial Intelligence Models for the Detection of Microsatellite Instability from Whole-Slide Imaging of Colorectal Cancer https://pubmed.ncbi.nlm.nih.gov/39125481/ ▶️ YouTube Version of this Episode https://www.youtube.com/live/Uwca5rzAtEA?si=Rd8r4LVM1utEKWdt Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

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99: DigiPath Digest #7 (Exploring AI-driven advances in digital pathology from T-cell signatures to synthetic images) 44:25

πριν 31 weeks44:25

44:25

Send us a text In this episode of DigiPath Digest, broadcasting from Poland, we delve into advances in digital pathology, including AI applications in bone marrow evaluation, classification of hematology cells, and the use of synthetic images for data augmentation. Additionally, we review a survey on pathologists' perceptions of ChatGPT and consider the feasibility of GANs for enhancing medical image analysis. 00:00 Welcome and Troubleshooting from Poland 00:21 Live Stream Challenges and Conference Details 02:21 Digital Pathology Podcast Introduction 02:51 Technical Difficulties and Audience Interaction 06:18 Exploring Digital Pathology Papers 06:43 Advances in Bone Marrow Evaluation 09:03 AI in Hematology and Pathology 12:28 Colorectal Cancer Prognostication 19:34 Pan-Cancer Xenograft Repository 25:16 ChatGPT and Pathology Survey 30:55 Synthetic Image Generation in Pathology 36:35 Upcoming Conferences and Courses 42:27 Closing Remarks and Future Plans THE ABSTRACTS WE COVERED TODAY 📄 Advances in Bone Marrow Evaluation https://pubmed.ncbi.nlm.nih.gov/39089749/ 📄 Digital Imaging and AI Pre-classification in Hematology https://pubmed.ncbi.nlm.nih.gov/39089746/ 📄 Evaluation of CD3 and CD8 T-Cell Immunohistochemistry for Prognostication and Prediction of Benefit From Adjuvant Chemotherapy in Early-Stage Colorectal Cancer Within the QUASAR Trial https://pubmed.ncbi.nlm.nih.gov/39083705/ 📄 A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis A survey analysis of the adoption of large language models among pathologists https://pubmed.ncbi.nlm.nih.gov/39082680/ 📄 Clinical-Grade Validation of an Autofluorescence Virtual Staining System with Human Experts and a Deep Learning System for Prostate Cancer Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

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98: DigiPath Digest #6 (Foundation models high level overview) 49:33

πριν 32 weeks49:33

49:33

Send us a text Exploring Foundation Models in Digital Pathology: Insights and Tools In today's DigiPath Digest we talk about the foundation models in pathology. reviewing abstracts from two notable papers in Nature. We discuss the high-level overview of these models, including Hamid Tizhoosh's insights on the vast data requirements for developing effective foundational models. We also explore tools for literature research, comparing PubMed and Undermind.ai, and examine a useful children's book on artificial intelligence :) The episode features audience interaction and offers updates on digital pathology trends, along with a personal anecdote on the nature of comparison based on a yoga class experience. 00:00 Introduction and Overview 00:16 Foundation Models in Pathology 00:33 Comparing Research Tools 01:03 Live Stream Interaction 01:12 Starting the Podcast 04:51 Foundation Models Explained 05:11 Research and Findings 06:34 Children's Book on AI 08:00 Deep Dive into Foundation Models 14:28 Case Studies and Examples 18:18 Discussion on Data and Models 21:00 Final Thoughts and Questions 26:24 Exploring ToxPath and Foundation Models 27:05 Introduction to Image Repositories 28:36 Using PubMed for Research 30:35 Exploring Undermined Tool 35:42 Comparing PubMed and Undermined 41:00 Final Thoughts and Recommendations TODAY'S ABSTRACTS & RESOURCES 📄 Here are the abstracts reviewed today: A visual-language foundation model for computational pathology A foundation model for clinical-grade computational pathology and rare cancers detection ▶️ Hamid Tizhoosh's lecture: "Foundation Models and Information retrieval in Pathology" 🔧 The tool we tried today Undermind (for literature researc h) 📕 A book we discussed :) "ABC of Artificial Intelligence. Baby University" Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

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97: DigiPath Digest #5 (AI in Modern Medicine: Diagnostics and Healthcare Outcomes) 45:43

πριν 33 weeks45:43

45:43

Send us a text DigiPath Digest #5 is ready as audio! We explore how AI and image datasets can accelerate medical education for both radiology and pathology. I review comparisons between the GPT-4 vision model and convolutional neural networks for neuropathological changes in the brain. We explore how AI can potentially reduce healthcare costs, particularly in cancer risk discrimination. Additionally, there's a focus on AI applications in digital urine cytology for bladder cancer diagnosis. I also share personal updates, upcoming podcast guests, and my plans for utilizing YouTube content to create an educational course. The episode wraps up with a lively discussion on integrating AI in clinical workflows and prioritizing patient care. TIMESTAMPS: 00:00 Introduction and Podcast Updates 03:41 Guest Highlights and Personal Updates 06:33 Digital Self-Learning in Radiology 12:14 AI in Breast Cancer Risk Assessment 18:36 Comparing GPT-4 Vision and CNN in Neuropathology 21:58 Challenges in Lesion Identification 22:59 Few-Shot Learning in Neuropathology 24:42 AI in Bladder Cancer Diagnosis 29:48 Innovations in Digital Pathology 38:48 AI-Powered Clinical Workflows 44:42 Conclusion and Future Directions TODAY'S ABSTRACTS & RESOURCES: Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistance U.S. payer budget impact of using an AI-augmented cancer risk discrimination digital histopathology platform to identify high-risk of recurrence in women with early-stage invasive breast cancer Evaluating the efficacy of few-shot learning for GPT-4Vision in neurodegenerative disease histopathology: A comparative analysis with convolutional neural network model Evaluating artificial intelligence-enhanced digital urine cytology for bladder cancer diagnosis Support the show Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!…

Digital Pathology Podcast

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96: Achieving Work-Life Balance in Medicine as a Pathologist with Digital Pathology w/ Todd Randolph, MD 57:56

πριν 33 weeks57:56