Digital Pathology Podcast

Send us Fan Mail Why do some pathologists still hesitate to trust digital slides—even after the FDA says “yes”? Because accuracy in digital pathology isn’t just about pixels—it’s about precision, validation, and confidence. In this episode, I talk with Dr. Keith Wharton, MD, PhD, Global Medical Director at Roche Diagnostics, about how the Roche Digital Pathology DX system earned its FDA clearance...

Send us Fan Mail Live from Pathology Visions 2025 in San Diego , I share highlights from Day 2 of the world’s leading digital pathology conference, where experts explored how AI, empathy, and training are shaping the next generation of pathologists . This episode captures the shift from technology as a tool to technology as a bridge — helping us connect with patients in more meaningful ways. What...

Send us Fan Mail Live from Pathology Visions 2025 in beautiful San Diego , I sat down with Imogen Fitt from Signify Research to explore how AI, digital pathology, and interoperability are transforming the way we diagnose cancer and deliver patient care. The conference theme, “From Pixels to Patients,” perfectly captures this year’s shift — from theoretical discussions about AI to real-world implem...

Send us Fan Mail Will AI make doctors and specialists less skilled—or even replace them? That’s the question I explore in this episode of DigiPath Digest #29 . As someone working where AI meets digital pathology , I’m both excited and cautious about how automation shapes our skills and professional identity. In this episode, I discuss two studies that ask tough questions about AI, expertise, and t...

Send us Fan Mail What if climbing the digital pathology “mountain” isn’t about reaching the summit alone—but knowing where base camp is, and who you bring with you? In this episode, I take you inside the Digital Diagnostic Summit in Park City , hosted by Lumea , where fewer than 100 digital pathology leaders gathered to share their journeys, challenges, and solutions.  From resilient metaphors of...

Send us Fan Mail What if up to 35% of the diagnostic color data on your pathology slides never reaches your eyes—just because of your monitor? In this episode, sponsored by Barco , I sit down with Dr. Monika Lamba Saini (ADC Therapeutics) and Tom Kimpe (Barco) to uncover why color calibration in digital pathology isn’t optional anymore—it’s critical for diagnosis, efficiency, and AI readiness. Hig...

Send us Fan Mail 7 Counterintuitive Secrets from NCCN’s 2025 AI in Cancer Care Summit When the National Comprehensive Cancer Network (NCCN) gathers healthcare leaders, people listen. I attended the 2025 Policy Summit on the evolving AI landscape in cancer care—and walked away with insights that were raw, practical, and surprisingly hopeful. Instead of hype or overpromising, cancer care leaders sha...

Send us Fan Mail What if the way we quantify pathology is more guesswork than science? In this episode of DigiPath Digest , I take you through the latest research where AI is not just supporting but challenging traditional methods of image analysis in neuropathology, nephrology, hematology, and cytology. From Boston brain banks to Mayo Clinic kidney models, we look at how advanced AI compares to h...

Send us Fan Mail What if the AI tools we trust for cancer diagnosis are not always correct? This episode of DigiPath Digest takes on the uncomfortable but critical question: can AI “lie” to us—and how do we verify its performance before adopting it in clinical practice? Highlights: [00:02:00] Foundation models in action : Deployment of a fine-tuned pathology foundation model for EGFR biomarker det...

Send us Fan Mail What if AI could predict cancer outcomes better than traditional methods—and at a fraction of the cost? In this episode, I explore how multimodal AI is reshaping lung and prostate cancer predictions and why integration challenges still stand in the way. Episode Highlights with Timestamps: [00:02:57] Agentic AI in toxicologic pathology – what it is and how it could orchestrate work...

Send us Fan Mail “AI in Pathology Isn’t Coming — It’s Already Here. Are You Ready?” From confusion to clarity — that’s what this episode is all about. I sat down with Drs. Liron Pantanowitz, Hooman Rashidi, and Matthew Hanna to dissect one of the most important and comprehensive AI-in-pathology resources ever created: the 7-part Modern Pathology series from UPMC’s Computational Pathology & AI...

Send us Fan Mail Can AI Grade Cancer Better Than Us? The Truth About T-Cell Imaging, Biomarkers & Digital Pathology Disruption You think Saturday mornings are for coffee? Try diving into bone marrow morphology, organ donor kidney biopsies, and AI-driven metastasis detection at sunrise. That’s how I do it—and you’re invited to join. Welcome to another data-packed episode of DigiPath Digest , wh...

Send us Fan Mail AI Pathology & Genomics: A New Benchmark for Predicting Gene Mutations If you still think visual quantification is “good enough” in pathology, think again. In this 27th episode of DigiPath Digest, I break down four transformative abstracts that show how AI is shifting our diagnostic landscape—from breast cancer segmentation to fibrosis assessment, and all the way to spatial im...

Send us Fan Mail If our visual scoring is still based on gut feeling, how do we scale precision? In this week’s DigiPath Digest, I explored four new AI-focused papers that could reshape how we diagnose prostate, bladder, gastroesophageal, and endocrine cancers. From automated IHC scoring to predicting urethral recurrence post-cystectomy, these studies highlight the growing value—and responsibility...

Send us Fan Mail If we don’t learn to work with LLMs now, we might end up competing with them. 🧠 In this week’s DigiPath Digest , I return to our Journal Club to unpack the latest research on AI in tumor classification , focusing on GPT-4o, LLaMA, and other LLMs . Can these models really outperform traditional tools when analyzing pathology reports? Surprisingly—yes. But don’t panic. This episode...

Send us Fan Mail AI in Pathology: ML-Ops and the Future of Diagnostics What if the most advanced AI models we’re building today are doomed to die in the machine learning graveyard? 🤯 That’s the haunting question I tackled in the final episode of our 7-part series exploring the Modern Pathology AI publications. In this session, I explored machine learning operations (ML-Ops) —what they mean for di...

Send us Fan Mail Can We Ever Eliminate Bias in AI for Pathology? Every time we think we’ve trained a “neutral” algorithm, we discover our own fingerprints all over it. Our biases . Unconscious. Systemic. Data-driven. And if we ignore them, AI won’t just fail—it will fail patients. Welcome back, my digital pathology trailblazers! In this sixth episode of our 7-part AI in Pathology series , we tackl...

Send us Fan Mail The Most Overlooked Risk in AI for Pathology? It’s Not What You Think… Welcome, my trailblazing digital pathologists! In this episode, I dive headfirst into the regulatory maze of Artificial Intelligence (AI) in pathology , covering global frameworks, safety risks, ethics, and the future of software as a medical device. While regulation might not be the flashiest part of AI, ignor...

Send us Fan Mail In this episode sponsored by Epredia , Dr. Anil Parwani explores the transformative journey of digital pathology from basic slide scanning to AI-driven diagnostics. He shares real-world implementation experiences and demonstrates how these technologies are addressing critical challenges in pathology practice. Pathology faces increasing demands amid workforce shortages and knowledg...

Send us Fan Mail You might be using AI models in pathology without even knowing if they’re giving you reliable results.   Let that sink in for a second—because today, we’re fixing that. In this episode, I walk you through the real statistics that power—and sometimes fail—AI in digital pathology. It's episode 4 of our AI series, and we’re demystifying the metrics behind both generative and non...

Send us Fan Mail What if I told you the biggest AI breakthroughs in pathology aren’t coming from ChatGPT or generative tools—but from the quiet power of predictive analytics and machine learning? In this episode, I explore the non-generative side of artificial intelligence in pathology. These are the tools that detect tumors, segment tissue, classify images, and make predictions —without generatin...

Send us Fan Mail ❗️ Is synthetic data trustworthy enough to train AI for patient care? It just might be—and that's what both excites and terrifies me. ❗️ Hey trailblazers! In this episode of the Digital Pathology Podcast, I take you through the second part of our AI in Pathology series—this time, we’re focusing on generative AI and how it’s revolutionizing diagnostics, education, and workfl...

Send us Fan Mail Generative vs. Non-Generative AI in Pathology: Why the Difference Matters If we don’t start defining what kind of AI we’re talking about, we risk letting buzzwords replace real science. 🧠 This is where we begin—at the foundation. Welcome to the first episode of our 7-part Guided Journey through AI in Pathology, inspired by two must-read articles from Modern Pathology that you’ll...

Send us Fan Mail Will FDA rules disrupt the way we diagnose diseases?  In this episode, I break down a seismic shift in lab medicine: a federal court has vacated the FDA’s controversial rule classifying lab-developed tests (LDTs) as medical devices. This change carries serious implications for innovation, digital pathology, AI-based diagnostics, and small labs across the U.S. 🎧 What You’ll Hear:...

Send us Fan Mail You think going digital in pathology just means buying a scanner?  Think again.  In this episode sponsored by Epredia, I sat down with Ryan Davis, Director of Global Business Strategy at Epredia, to talk about what it really takes to implement digital pathology—and why modularity, cytology support, and AI integration are changing the game.  Whether you’re starting your digital jou...