Digital Pathology Podcast

Send us a textWhy is digital pathology progressing faster in some parts of the world than others? In this international episode sponsored by Muse Microscopy, I sit down with Junya Fukuoka and Norman Zerbe—presidents of the Asian and European Societies of Digital Pathology—to unpack how cultural, regulatory, and infrastructural forces are shaping progress differently across continents.From direct-to-digital tissue imaging considered an alternative to frozen sections in Asia, to legal hurdles in Europe, we discuss what's advancing adoption—and what's still holding it back.

Send us a textAt the last  Pathology Visions 2024, I sat down with Imogen Fitt of Signify Research and Nick Best from Pathology News for a candid, energetic recap of what's really shaping the future of digital pathology.We discuss how two pathologists drove digital pathology adoption in their lab,  the reality behind radiology partnerships, the cautionary tale of AI burnout, and how the Technology Buyer's Guide helps pathologists navigate endless scanner options. From standardization and DICOM to staffing crises, remote workflows, and even Meta glasses—we covered it all.

Send us a text“It used to take 40 minutes, now it takes 15” - this is what Dr. Alae Kawam said about her AI-powered prostate biopsy evaluation workflow.  In this energizing episode of the Digital Pathology Podcast recorded at PathVisions 2024, Dr. Alae Kawam joins me to reflect on where pathology is headed—from AI-assisted prostate diagnostics to direct-to-digital imaging and beyond. Together, we unpack what's working, what still feels clunky, and why standardization, staffing flexibility, and smarter AI are critical to the next phase of pathology adoption.

Send us a textWhat does it take to build a digital pathology movement across the most diverse region on Earth?In this episode of the Digital Pathology Podcast, I'm joined by Dr. Junya Fukuoka, practicing pathologist, educator, and founder of the Asian Society of Digital Pathology (ASDP). From Japan to India, Saudi Arabia to South Korea, Asia's digital pathology adoption is growing rapidly—and Dr. Fukuoka is helping lead the charge.We talk about why digital access, multilingual support, and patient advocacy are central to pathology adoption across Asia's diverse regions. We also explore what it means to “skip” a step in tech, and why static images and direct-to-digital imaging may be Asia's most powerful tools.

Send us a textIn this episode, I'm joined by Dr. Hamid Tizhoosh, professor of biomedical informatics at the Mayo Clinic, to unravel what's truly holding back AI in healthcare, especially pathology. From the myths of general-purpose foundation models to the missing link of data availability, this conversation explores the technical and ethical realities of deploying AI that's accurate, consistent, lean, fast, and robust.

Send us a textIn this episode of the Digital Pathology Podcast, I sit down with Dr. Yuri Nikiforov, founder of the World Tumor Registry, to explore how this global, open-access whole slide image platform contributes to cancer diagnostics, education, and research.We talk about how the registry allows pathologists, researchers, and patients to view curated whole-slide images from around the world, starting with thyroid tumors and expanding into other cancers like breast and lung. Learn how AI, molecular diagnostics, and editorial curation come together to build a truly global pathology tool that's free for everyone, forever.

Send us a textIn this episode of the Digital Pathology Podcast, I explore the ethical and bias considerations in AI and machine learning through the lens of pathology. This is part six of our special seven-part series based on the landmark Modern Pathology review co-authored by the UPMC group, including Matthew Hanna, Liam Pantanowitz, and Hooman Rashidi.From data bias and algorithmic bias to labeling, sampling, and representation issues, I break down where biases in AI can arise—and what we, as medical data stewards, must do to recognize, mitigate, and avoid them.

Send us a textUSCAP 2025 Daily Update – Day 4 with Dr. Aleksandra ZurawIt's the final day of USCAP 2025, and in this episode of the Digital Pathology Podcast, I'm sharing personal moments, spontaneous tech wins (and fails), and meaningful conversations with some of the most forward-thinking voices in digital pathology.From running around with mics and misplaced tripods to interviewing Dr. Dry and Dr. Ozumura, this episode captures both the spirit of innovation and the real-world challenges of advancing digital workflows—especially in environments where regulations still lag behind.

Send us a textUSCAP 2025 Daily Update – Day 3 Recap with Dr. Aleksandra ZurawIn this episode of the Digital Pathology Podcast, I bring you Day 3 insights live from USCAP 2025—from moderating the MUSE panel on slide-free imaging to exploring regulatory strategies, tech innovations, and collaborations across the digital pathology community.Get an inside look at how direct-to-digital pathology is transforming workflows, how companies like Techcyte are streamlining AI applications, and why regulatory strategy is as crucial as your scanning tech.

Send us a textUSCAP 2025 Daily Update – Day 2 with Dr. Aleksandra ZurawWelcome back to the Digital Pathology Podcast live from USCAP 2025! On Day 2, I dive into the momentum building across the conference—covering major trends, tech insights, and how digital pathology is no longer just a topic, but a critical tool used to deliver sessions and share knowledge.From vendor-driven presentations to real-world applications of AI and slide-free technology, this episode explores how digital workflows are being integrated into education, diagnostics, and collaboration on a global scale.

Send us a textUSCAP 2025 Daily Update – Day 1 Highlights from Dr. Aleksandra ZurawWelcome to the first live daily update from USCAP 2025, recorded straight from the conference floor by Dr. Aleksandra Zuraw, your host at Digital Pathology Place. In this episode, Aleks shares behind-the-scenes moments, exciting vendor previews, and key updates as the world's largest pathology meeting kicks off.

Send us a textIn this episode of the Digital Pathology Podcast, I sit down with Matthew Nuñez, CEO of MUSE Microscopy, to discuss the groundbreaking advancements in direct-to-digital imaging in pathology. Traditional pathology workflows rely on glass slides, formalin fixation, and time-consuming processing steps. But what if we could skip the slide entirely and go straight to digital?

Send us a textHow Can Digital Pathology Workflows Stay Compliant and Efficient?In this episode of the Digital Pathology Podcast, I sit down with Scott Randall, Senior Application Specialist at Hamamatsu (Hamamatsu NanoZoomer), and Amanda Coble, Senior Director of Product for Proscia (Proscia's Website), to discuss the critical role of compliance, interoperability, and efficiency in digital pathology workflows.

Send us a textWhat 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 Technology00:54 Meet the Experts: Dr. Rao and Dr. Edwards01:08 FDA Approval and Implementation Plans01:35 Change Management in Pathology01:56 Training Pathologists for SmartPath03:48 Translational Tissue Banking and Clinical Applications04:29 Impact on Breast Pathology05:49 Pathologists' Reception and Adoption14:33 Financial Viability and ROI19:44 Conclusion and Future ProspectsLinks and Resources:This episode on YouTubeMuse Microscopy WebsiteSmartPath Device Demo VideoSupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a textTransforming Pathology: A Deep Dive into the Muse SystemThis 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 Pathology00:18 The Hurdle of Digitizing Analog Pathology00:26 Direct to Digital Pathology: A Game Changer01:46 Introduction to Muse Microscopy02:32 How Direct to Digital Pathology Works03:10 Advantages of Direct to Digital Pathology04:13 Understanding Muse Technology05:26 The Digital Pathology Workflow with Muse14:15 Challenges and Misconceptions15:38 The Future of Pathology16:31 Frequently Asked Questions18:07 Conclusion and Additional Resources18:54 Behind the Scenes and Final ThoughtsLinks and Resources:Original blog post on Digital Pathology Place  Website and LinkedInYouTube playlist with more information about MUSESmartPath Product presentation from CAP 2024Video showing the SmartPath device at the conference boothUSCAP in Boston - Muse Microscopy booth #528Support the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a textIn 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.

Send us a textIn 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.

Send us a textIn 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.

Send us a textWelcome 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 #2101:22 PSMA PET in Prostate Cancer06:49 HistoColAI: Collaborative Digital Histology12:34 AI in Mammogram Analysis17:21 Blood-Brain Barrier Organoids for Drug Testing22:02 Trustworthy AI in Lung Cancer Diagnosis30:09 QuPath for Nephropathology35:30 AI Predicts Endocrine Response in Breast Cancer40:04 Comprehensive Classification of Renal Histologic Types45:02 Conclusion and Viewer EngagementLinks 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 PerplexityHistoColAI Github PagePublications Discussed Today:

Send us a textIn 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. IYou 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 Digest00:53 Introduction and New Year Greetings01:41 Diving into DigiPath Digest01:44 AI in Respiratory Cytology06:11 The Role of AI in Pathology09:49 Multi-Omics and AI11:28 Radiomics and Pathomics14:44 Live Q&A and Future Plans20:09 Prostate Cancer Tsunami22:34 Thyroid Cytology and Live AI-Assistant demo31:07 Conclusion and the option to send texts :)Links 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:

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

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:

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: richard.doughty@aiforia.comWatch 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!

Send us a textIn 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 KottlerDr. 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 AINina 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 OrchestrationWe 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 RadiologyNina 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 HealthcareWe 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 HealthcareWe 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 AccuracyNina 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 ImpactWe 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 ModelsCombining 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 AIWe 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 WorkNina 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 showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a textWelcome 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 PathologyLinks and Resources:Subscribe to Digital Pathology Podcast on YouTubePathology News Signify Research Monthly RecapYouTube version of this episodePublications Discussed Today:

Send us a textIn 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 DiagnosticsAdam 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 websitePathNet WebsiteOTHER EPISODES YOU MIGHT LIKE:The Evolution of Digital Pathology – from Improved Histology Quality to Fair Use of Pathology Data w/ Matthew O. Leavitt, DDx FoundationAchieving work-life balance in medicine as a pathologist with digital pathology w/ Todd Randolph, MD Support the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a textWhat 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 Announcement00:24 FDA's New Rule on Laboratory Developed Tests (LDTs)01:58 Recording the Podcast: A Casual Lunch Conversation03:47 Understanding FDA's Authority Over Medical Devices08:07 Disputes and Legal Challenges12:03 Practical Implications and Industry Reactions12:47 Understanding FDA's Focus: Safety and Efficacy14:11 The Role of CMS and Medical Necessity14:48 Congressional Involvement and Legal Authority16:06 Impact on Labs and Future LDTs18:33 Quality Systems and Compliance20:16 Modifications and Software Updates21:16 Conclusion and Next StepsSupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a textIn 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 DiagnosticsI 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 MedicineCandice 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 PathologyCandice 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 EfficiencyWe 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 MedicineCandice 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 AICandice 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 PracticeWe 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 MedicineCandice 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 PaperUndermind AIYoutube Episode of this EpisodeSupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a textIn 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 AiforiaRichard Fox's LinkedIn Profile Richard Fox's Email Support the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a textIn 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 #1400:24 New AI Course Announcement01:51 Deep Learning in Colorectal Biopsies09:17 AI in Kidney Biopsy Evaluation16:12 Automated Scoring of Tumor Infiltrating Lymphocytes24:22 AI for HER2 Expression in Breast Cancer31:13 Conclusion and Course DetailsTHIS EPISODE'S RESOURCES

Send us a textGood 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 AILet'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 StudyOur 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 PathologyNext, 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-OncologyWe 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.ConclusionThank 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 showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a textThe 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 Review01:19 The Role of Digital Pathology in Legal Cases02:16 Stephanie Franke Reid's Journey07:19 Challenges in Traditional Expert Reviews10:09 Implementing Blind Review in Pathology18:16 Collaboration with PathPresenter25:43 Streamlining the Legal Process with Digital Pathology26:51 Collaborative Tools for Legal Experts27:20 Path Presenter: A Game Changer for Attorneys28:17 Understanding Pathology for Juries29:20 Streamlining Case Preparation with Path Presenter31:54 Setting Up a Blind Review Process35:38 The Gold Standard of Blind Review41:53 Impact of Blind Review on Legal Outcomes49:49 Empowering Legal and Medical Professionals54:50 Conclusion and Call to Action - contact StephanieTHIS EPISODE'S RESOURCESStephanie's LinkedIn ProfileThe Blind Review WebsiteSupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a textIn 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 Feedback00:19 YouTube Monetization Milestone01:18 Reflecting on the First Video02:47 Special Day and Personal Story05:06 Introduction to AI in Pathology07:26 AI Terminology and Concepts13:17 Current Status of AI in Pathology17:33 Challenges and Future of AI in Pathology22:42 Conclusion and Call to Action23:30 Updates and Future PlansTHIS EPISODE'S RESOURCESThe YouTube version of "AI in Pathology" first videoThe updated "Artificial Intelligence in Pathology" video (coming soon in podcast version)Support the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a textIn 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 Disaster00:24 AI to the Rescue: Enhancing Audio Quality00:38 Meet the AI Co-Hosts01:04 Welcome to the Digital Pathology Podcast01:30 Technical Difficulties and Audience Interaction02:49 Exploring AI in Veterinary Medicine04:34 Hybrid Convolutional Neural Network for Glaucoma Screening07:49 Model for Detecting Metastatic Deposits in Lymph Nodes11:23 Leveraging Immunofluorescence Data for Lung Tumor Segmentation18:05 AI-Generated Content and Future Plans21:37 AI Co-Hosts Take Over32:42 Conclusion and Audience FeedbackTODAY'S EPISODES RESOURCES

Send us a textIn 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 & Introduction00:36 – 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:

Send us a textWelcome 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. J00:00 Introduction and Announcements00:55 Live Interaction and Updates05:01 Abstract Review: High-Grade Gliomas11:45 Abstract Review: Leukocyte Identification Tool13:24 Abstract Review: Gleason Grading in Prostate Cancer16:31 Abstract Review: HER2 Low Prediction in Breast Cancer24:01 Event Announcements and Closing RemarksTHIS EPISODES RESOURCES:

Send us a Text Message.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:

Send us a Text Message.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 Announcements00:25 Live Podcast Proposal01:40 Welcome and Audience Interaction03:05 Updates and Apologies06:11 YouTube Course Announcement07:23 Technical Difficulties and Solutions10:00 Digital Pathology Club and Vendor Sessions11:28 First Research Paper Discussion17:38 Second Research Paper Discussion20:07 ER Positive and HER2 Negative Patient Subgroup Analysis20:59 Independent Prognostic Value of StratiPath Breast Solution21:59 Challenges and Benefits of Image-Based Stratification22:58 Technical Difficulties and Live Stream Interaction24:22 Introduction to Paper Number Three: AI in Clinical Microbiology28:07 AI in Parasitology Screening and Diagnosis29:30 Physics-Informed AI for Retinal Assessment33:08 AI for Microsatellite Instability Detection in Colorectal Cancer36:42 YouTube Course Announcement and Digital Pathology Trailblazer Manifesto42:25 Celebrating the 100th Episode of the Digital Pathology PodcastTHE ABSTRACTS WE COVERED TODAY

Send us a Text Message.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 Poland00:21 Live Stream Challenges and Conference Details02:21 Digital Pathology Podcast Introduction02:51 Technical Difficulties and Audience Interaction06:18 Exploring Digital Pathology Papers06:43 Advances in Bone Marrow Evaluation09:03 AI in Hematology and Pathology12:28 Colorectal Cancer Prognostication19:34 Pan-Cancer Xenograft Repository25:16 ChatGPT and Pathology Survey30:55 Synthetic Image Generation in Pathology36:35 Upcoming Conferences and Courses42:27 Closing Remarks and Future PlansTHE ABSTRACTS WE COVERED TODAY

Send us a Text Message. Exploring Foundation Models in Digital Pathology: Insights and ToolsIn 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 Overview00:16 Foundation Models in Pathology00:33 Comparing Research Tools01:03 Live Stream Interaction01:12 Starting the Podcast04:51 Foundation Models Explained05:11 Research and Findings06:34 Children's Book on AI08:00 Deep Dive into Foundation Models14:28 Case Studies and Examples18:18 Discussion on Data and Models21:00 Final Thoughts and Questions26:24 Exploring ToxPath and Foundation Models27:05 Introduction to Image Repositories28:36 Using PubMed for Research30:35 Exploring Undermined Tool35:42 Comparing PubMed and Undermined41:00 Final Thoughts and RecommendationsTODAY'S ABSTRACTS & RESOURCES

Send us a Text Message.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 Updates03:41 Guest Highlights and Personal Updates06:33 Digital Self-Learning in Radiology12:14 AI in Breast Cancer Risk Assessment18:36 Comparing GPT-4 Vision and CNN in Neuropathology21:58 Challenges in Lesion Identification22:59 Few-Shot Learning in Neuropathology24:42 AI in Bladder Cancer Diagnosis29:48 Innovations in Digital Pathology38:48 AI-Powered Clinical Workflows44:42 Conclusion and Future DirectionsTODAY'S ABSTRACTS & RESOURCES:Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistanceU.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 cancerEvaluating the efficacy of few-shot learning for GPT-4Vision in neurodegenerative disease histopathology: A comparative analysis with convolutional neural network modelEvaluating artificial intelligence-enhanced digital urine cytology for bladder cancer diagnosisSupport the Show.Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a Text Message.How can you work remotely as a doctor?  Clearly some specialties, give more possibilities to do that than others and pathology is one of them.In this episode, I talk to Dr. Todd Randolph, a pathologist living the remote pathologist lifestyle. Dr. Randolph shares his journey into digital pathology, including his background, the evolution of his practice, and the transition to remote work. We discuss the benefits and challenges of digital pathology, including the importance of pathology and business experience, as well as insights into AI in pathology. Dr. Randolph also provides advice for those looking to pursue a career in digital pathology and emphasizes the importance of taking initiative and staying informed about the field.TIMESTAMPS00:00 Introduction to the Guest: Dr. Todd Randolph01:05 Todd's Pathology Journey02:04 Specialization in Pathology03:55 Transition to Digital Pathology05:01 Working with Lumea11:44 Daily Life as a Remote Pathologist13:36 Challenges and Benefits of Digital Pathology20:37 Starting a Career in Digital Pathology24:45 Early Days of Digital Pathology26:17 Challenges in Digital Pathology Systems27:46 Exploring Different Digital Pathology Systems29:03 Impact of Digital Pathology on Work-Life Balance32:50 Advice for Aspiring Digital Pathologists41:11 The Role of AI in Digital Pathology50:40 Regulatory Considerations for AI Tools54:11 Final Thoughts and EncouragementTHIS EPISODE'S RESOURCESDr. Todd Randolph on LinkedInLumea's websiteDigital Diagnostics Summit Registration LinkSupport the Show.Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a Text Message.The third episode of  DigiPath Digest just took place live, but I have an audio version for the listeners. DigiPath Digest is a review of digital pathology and IA publications abstract review that I host weekly as a live stream (on YouTube, LinkedIn, Facebook etc.)Here is the video version if you learn more visuallyToday the abstracts we discussed centered around innovations in disease detection and prognosis powered by digital pathology and AI. TIMESTAMPS:00:00 Welcome and Introduction00:35 DigiPath Digest Overview01:14 Engaging with the Audience06:09 Abstract Review: AI in Liver Fibrosis11:21 Abstract Review: AI in Prostate Cancer16:43 Abstract Review: AI in Glioblastoma23:02 Abstract Review: AI in Red Blood Cell Analysis28:38 Upcoming Events and Announcements34:18 Closing Remarks and Future EpisodesTODAY'S ABSTRACTS & RESOURCES:AI-based digital pathology provides newer insightsinto lifestyle intervention-induced fibrosisregression in MASLD: An exploratory study Artificial intelligence for detection of prostate cancerin biopsies during active surveillance Matrix metalloproteinase 9 expression and glioblastoma survival prediction using machine learning on digital pathological images 1 Million Segmented Red Blood Cells With 240 K Classified in 9 Shapes and 47 K Patches of 25 Manual Blood Smears Support the Show.Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a Text Message.This episode was originally recorded for  "People of Pathology Podcast" and I had the pleasure of being interviewed by Dennis Strenk after I have published my book "Digital Pathology 101 - All you need to know to start and continue your digital pathology journey". This was my third appearance on his show, so I was really honored!Our talk about digital pathology focused on the cultural shift and learning mentality essential for embracing rapid advancements in the field. We highlighted the importance of open-mindedness, interdisciplinary collaboration, and the practical applications of AI to enhance diagnostic and workflow processes.I also shared insights from my book, "Digital Pathology 101," which Dennis called "a comprehensive resource for beginners and experts". We covered key topics such as regulatory milestones, interoperability, and the role of toxicologic pathology.CHAPTERSearning Mentality (00:00): Exploring the mindset required for adapting to new technologies in digital pathology.Welcome to the Digital Pathology Podcast (00:53)The Journey of Writing Digital Pathology 101 (02:03): Sharing the process and inspiration behind writing the book.Balancing Content for Different Readers (05:29): How to make the book accessible and valuable for newcomers and seasoned professionals.Digital Pathology Milestones and Surprises (10:27): Highlighting significant achievements and unexpected developments in the field.Interoperability in Digital Pathology (15:19): The importance of systems working together seamlessly.Collaborating with Vendors (17:29): The benefits and challenges of working with technology providers.The Cultural Shift in Digital Pathology (21:47): Emphasizing the need for a cultural change within the pathology community to embrace digital tools fully.AI in Pathology: Narrow vs. General AI (27:17): Differentiating between specific AI applications and broader AI capabilities.Companion Diagnostics and Personalized Medicine (35:34): The role of digital pathology in advancing personalized medicine.The Role of Toxicologic Pathology (38:49): Discussing the role of toxicologic pathology in the digital age.Conclusion and Final Thoughts (42:37): Wrapping up the discussion with reflections and future outlooks.It was great to be Dennis' guest instead of the host this time, and be able to talk about digital pathology and the book to his audience. I liked this episode a lot and I hope you will to.To learn digital pathology fast, be sure to check out my book "Digital Pathology 101." You can get your copy here: Digital Pathology 101 E-book.Watch the full episode hereTHIS EPISODE'S RESOURCESThe original audio version of Dennis' podcast is here:

Send us a Text Message.This is the audio version of the DigiPath Digest - Abstract review that I host on YouTubeHere is the video version if you learn more visuallyToday I explain what happened with my "beginning of year initiative" to post an audio version of the Digital Pathology Newsletter sent out in an email form. In a nutshell: I just stopped posting it, you will find out why in this episode.TIMESTAMPS00:00 Introduction to DigiPath Digest00:13 Challenges in Digital Pathology01:31 Consistency and Sustainability02:51 Abstract Review Process04:25 Engaging with the Community08:31 First Abstract: Molecular Classification of Breast Cancer14:21 Second Abstract: AI in Breast Cancer Detection20:53 AI-Assisted Pathology: Time Reduction and Sensitivity Improvement21:36 Environmental Impact of Digital Pathology22:23 Technical Difficulties and Viewer Interaction24:30 French Authorities on Digital Pathology's Environmental Cost28:45 Cephalometric Analysis: Digital vs. Manual Tracing31:46 Exploring Undermined.ai for Scientific Research43:05 Concluding Remarks and Future PlansTODAY'S ABSTRACTS & RESOURCESMolecular Classification of Breast Cancer Using Weakly Supervised Learning (https://pubmed.ncbi.nlm.nih.gov/38938010/)Clinical implementation of artificial-intelligence-assisted detection of breast cancer metastases in sentinel lymph nodes: the CONFIDENT-B single-center, non-randomized clinical trial (https://pubmed.ncbi.nlm.nih.gov/38937624/)[The environmental impact of digital technology and artificial intelligence, in the time of digital pathology] (https://pubmed.ncbi.nlm.nih.gov/38937204/)Digital versus Manual Tracing in Cephalometric Analysis: A Systematic Review and Meta-Analysis (https://pubmed.ncbi.nlm.nih.gov/38929786/) Support the Show.Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

Send us a Text Message.In this episode, join me as I speak with Dr. Greg Rose, a retired radiologist who played a key role in the digital transformation of radiology. His journey offers valuable insights and lessons for the digital pathology community.Key Points Discussed:Initial Digital Adoption Challenges: Greg's experience with transitioning from analog to digital, focusing on the challenges related to change management and personality dynamics.Digitization Process: How radiology moved from plain film to digital modalities like CT, MRI, and ultrasound, and the steps involved in digitizing these imagesTechnical and Political Hurdles: Navigating technical issues, workflow optimization, and dealing with political dynamics within medical institutions.Managing Change: Effective strategies for involving senior staff and managing resistance to change.AI in Radiology: Current applications of AI in radiology, its potential for pathology, and the legal implications of AI-assisted diagnostics.Future Directions: Greg's vision for the future of digital health, including the development of tappable databases and the evolving roles of radiologists and pathologists.Greg's insights into the digital transformation of radiology provide a valuable perspective for pathologists looking to embrace digital tools and techniques. His experience highlights the importance of managing change, leveraging AI, and improving diagnostic workflows.THIS EPISODE'S RESOURCES

In this episode Dr. Aleks Zuraw sits down with Mariano De Socarraz, President of CorePlus and member of the board of directors at the Digital Pathology Association. CorePlus is an anatomic and clinical pathology lab in Puerto Rico that has fully embraced digital pathology and AI.Key TakeawaysCorePlus converted to 100% whole slide imaging for primary diagnosis in January 2020, before the pandemicThey are pioneering the use of AI algorithms from companies like IBEX, AlpenGlow, Artera and TechCyte for cancer detection and precision pathologyDigital pathology increases efficiency by ~30% and enables benefits like remote reading, better ergonomics, and seamless sharing of casesAI helps detect missed lesions, reduce interoperator variability, and eliminate false negatives in prostate biopsiesThe future of pathology will involve predictive and prognostic information generated right from digital slides (histomics)Making the Digital TransitionMariano shares how CorePlus, as a technology-forward company, decided in 2018 to fully convert to digital pathology. They took 2019 to prepare, validate their processes following CAP guidelines, and get full buy-in from stakeholders. On January 1st, 2020 they were fully digital.While acknowledging that glass slides have advantages in simplicity, Mariano believes the benefits of digital pathology for patients and pathologists are too great to ignore. His advice for other practices considering the digital transition:Focus on re-engineering your workflows first before choosing scannersPlan for IT redundancy to avoid any disruptionGet full buy-in from your teamStart focused and build successes in stagesUnlocking the Power of AIAfter seeing a press release about UPMC and IBEX using AI to diagnose prostate cancer, CorePlus reached out to partner with them. They became the first site outside the UK to validate and implement IBEX's algorithm, running it on over 9500 cases as a QC tool.The algorithm was able to alert pathologists to missed lesions in 73 patients that would have otherwise been false negatives. CorePlus has now moved the algorithm to the front-end to pre-screen and triage all prostate cases.They are also partnering with other AI companies like AlpenGlow, Artera and TechCyte to bring these benefits to breast, GI, cytology and other subspecialties. Mariano sees AI generating predictive and prognostic insights right from slides.The Future is DigitalMariano believes medical education must quickly incorporate digital pathology and AI training to prepare the next generation of pathologists. The Digital Pathology Association is key in fostering collaboration to expand access, especially in underserved communities.While going digital requires some reinvention, Mariano is excited to pioneer this space. He and CorePlus aim to be "missionaries" doing what's best for patients and the field of pathology.THIS EPISODE'S RESOURCES: Digital Pathology Association  IBEX websiteAlpenglow Biosciences websiteEpredia website CorePlus website Amazon Link for the Digital Pathology 101 BookSupport the Show.Become a Digital Pathology Trailblazer and See you inside the club: Digital Pathology Club Membership

Swarm Learning in Digital Pathology: Revolutionizing Cancer Histopathology Today on the Digital Pathology Podcast  my guest is Oliver Saldana, the first author of a significant Nature Medicine paper published in 2022 on 'Swarm Learning for Decentralized Artificial Intelligence in Cancer Histopathology'. Oliver shares his journey from Mangalore, India, to Germany, where he pursued his master's and PhD, delving into histopathology and decentralized AI under the supervision of Professor Dr. Jakob Nicolas Kather. The discussion explores the concept of swarm learning as a novel method for deep learning in histopathology, its advantages over centralized learning including compliance with data protection laws like GDPR, and its potential for global collaboration in medical research without sharing sensitive data. Oliver emphasizes swarm learning's ease of setup and its alignment with the FAIR principles for scientific data management. The podcast aims to shed light on the groundbreaking work being done in the convergence of pathology and computer science, urging researchers and pathology centers to digitize their slides and contribute to global swarm learning projects.00:00 Introduction to Swarm Learning and Its Applications00:50 Intro01:17 Meet Oliver Saldana: A Trailblazer in Decentralized AI for Cancer Histopathology03:57 Exploring the Concept of Decentralized AI and Its Importance06:52 Understanding Centralized vs. Decentralized Learning08:47 The Revolutionary Approach of Swarm Learning10:38 Blockchain's Role in Enhancing Histopathology with Swarm Learning14:50 Addressing Preprocessing and Generalizability in Swarm Learning21:26 Swarm Learning's Compliance with GDPR and Data Protection25:05 Exploring Swarm Learning in Medical Data Analysis25:34 Prototype Study and Real Cohorts in Swarm Learning27:01 Comparing Swarm Learning with Centralized Models27:44 The Role of Bare Metal Servers in Swarm Learning30:01 Centralized Slide Repositories vs. Swarm Learning44:11 Commercializing Swarm Learning Models47:07 FAIR Principles and Swarm Learning51:11 Global Ambitions and the Future of Swarm LearningTHIS EPISODES RESOURCES

Navigating Ethical Challenges in AI-Powered PathologyThis episode is a webinar recording. It  delves into the complex ethical considerations of incorporating artificial intelligence (AI) in pathology. Dr. Zuraw begins by exploring the fundamentals of ethics and moves on to discuss the impact of AI in pathology, focusing on:ethical dilemmas, data diversity issues, biases, and the importance of maintaining professional and societal ethical standards in the wake of AI integration. The session touches upon the ethical guidelines and regulatory frameworks guiding ethical decision-making in healthcare, alongside the role of regulatory agencies like the FDA. It also highlights the significance of data diversity and mitigation strategies to address potential ethical pitfalls in AI utilization. The webinar emphasizes the constant balance between advancing technology and ethical responsibility, underlining the need for transparency, governance, and accountability in deploying AI tools in pathology.00:00 Introduction to Ethics in AI-Powered Pathology00:30 Exploring the Ethical Dilemmas in Healthcare00:36 Webinar Overview and Digital Pathology Insights01:05 Defining Ethics and Its Importance in AI Pathology02:05 Interactive Webinar Engagement and Audience Participation03:25 Deep Dive into Ethics: Definitions and Applications09:31 Ethical Considerations in Biomedical Research10:34 Navigating Ethical Dilemmas: A Practical Example13:57 Understanding Ethical Principles in Decision Making17:14 AI Bias and Representation in Pathology20:52 Frameworks and Guidelines for Ethical Oversight25:02 AI Applications in Pathology: Ethical Perspectives27:21 Exploring AI in Research and Its Capabilities29:22 AI's Role in Medical Imaging and Diagnostics33:11 Ethical Considerations and AI in Pathology34:04 Addressing AI Challenges: Bias, Interpretability, and Security44:26 AI as a Medical Device: Regulatory Perspectives and Future Directions49:16 Concluding Thoughts and Audience EngagementTHIS EPISODES RESOURCES:Interested in getting the slides from this presentation, click hereAI in Pathology: What could possibly go wrong (Paper)Ethics of AI in Pathology: Current Paradigms and Emerging Issues (Paper)Guardrails for the use of generalist AI in cancer care (Nature commentary)No more microscopes. How close are we to glassless pathology? W/ Dr. Richard Levenson, US Davis Health (Podcast episode)Support the showBecome a Digital Pathology Trailblazer and See you inside the club: Digital Pathology Club Membership

If any of the statements applies:➡️ You know AI and Machine Learning are already part of the pathology workflow, but maybe you are not exactly sure which part of the workflow?➡️ “AI” is still a bit of overhyped, fuzzy buzzword for you?➡️ You would like to learn about how it can help pathologist and labs work smarter and patients get better care.Then this webinar is for you!This is the second part of the “Digital Pathology 101” webinar series, based on the “Digital Pathology 101” book, where Dr. Aleks Zuraw explains digital pathology and AI concepts.This journey through Chapter 3 illuminates how image analysis, AI, and machine learning not only complement traditional pathology but propel it into new realms of precision and insight.As we delve into the essence of tissue image analysis and the transformative role of AI and machine learning in modern pathology, you'll discover how these technologies augment diagnostic methods, enhance research, and redefine what's possible in our field.From the basics of tissue image analysis to the advanced realms of computer vision and the pivotal role of quality control, this webinar bridges the gap between high-level computational domains and daily pathology practice.What You'll Explore:The foundational principles of image analysis, AI, and machine learning in pathology.The crucial balance between classical and AI-based approaches to tissue image analysis and their applications in both regulated and non-regulated environments.The importance of quality control in ensuring accurate, reliable results from AI-assisted analyses.An introduction to the key terminology of pathology informatics, demystifying the language that underpins digital pathology and AI.Who Should Attend:This webinar is tailored for: