Digital Pathology Podcast

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

Send us a textLeveraging AI for Deep Insights into Tertiary Lymphoid Structures in Colorectal CancerIn 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 Introduction00:45 Introducing the New AI Tool: Notebook LM by Google01:11 Experimental Series: "Aleks + AI"02:06 Deep Dive into Tertiary Lymphoid Structures (TLS)03:18 Understanding TLS and Their Role in Colorectal Cancer04:20 Quantification Methods and Key Findings05:02 Implications for Personalized Medicine09:02 AI in TLS Analysis and Future Prospects11:00 CMS Classification and TLS Density12:08 Study Limitations and Future Directions15:40 Final Thoughts and Wrap-Up16:28 Feedback and Future PlansTHIS EPISODE'S RESOURCES116: DigiPath Digest #18 | Federated Learning in Pathology. Developing AI Models While Preserving PrivacyPUBLICATION 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 textSupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a textIn 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 Greetings00:18 Today's Topic: Federated Learning00:57 AI Tools and Updates04:39 Federated Learning in Detail08:03 Challenges and Benefits of Federated Learning11:21 Exploring More Papers and Future Plans22:53 Wrapping Up and Final ThoughtsLinks and Resources:Subscribe to Digital Pathology Podcast on YouTubeFree E-book "Pathology 101"YouTube (unedited) version of this episodeTry Perplexity with my referral linkMy new page built with PerplexityPublications 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 showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a textThis 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 TodayDiscussing the pathologist shortage, delayed diagnoses, and how AI can address these issues.[00:03:00] A Pathologist’s Dual PerspectiveDr. 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 PathologyInsights into how clinician-centric AI tools like Aiforia are designed to improve diagnostic workflows and outcomes.[00:14:00] Addressing Challenges in AI IntegrationStrategies for overcoming hurdles like algorithm aversion, skill retention, and fostering trust in AI systems.[00:22:00] Preparing Future PathologistsThe importance of incorporating AI training into residency programs and creating a digitally savvy workforce.[00:44:00] How to Implement AI EffectivelyPractical 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 101Contact Dr. Richard Doughty: [email protected] more videos created together with Aiforia: VIDEO PLAYLISTThis 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 showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!