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

Digital Pathology Podcast

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18:09

HR is no longer just about managing people—it’s about shaping the future of work. Jens Baier, BCG’s HR transformation expert, discusses how AI and shifting employee expectations are forcing companies to rethink talent strategies. From re-recruiting to upskilling employees, HR must adapt to a rapidly changing landscape. Learn More: Jens Baier: https://on.bcg.com/41ca7Gv BCG on People Strategy: https://on.bcg.com/3QtAjro Decoding Global Talent: https://on.bcg.com/4gUC4IT…

πριν περίπου ένα χρόνο 35:25

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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/

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#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

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

Digital Pathology Podcast

published πριν περίπου ένα χρόνο

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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.

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

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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

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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!…

Digital Pathology Podcast

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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!…

Digital Pathology Podcast

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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!…

Digital Pathology Podcast

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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