Send us Fan Mail If artificial intelligence can match—or even surpass—our diagnostic accuracy, what happens to the role of the pathologist? That’s the question I explore in this episode of DigiPath Digest #30 , where I break down three fascinating papers showing how AI is changing the way we diagnose, classify, and predict outcomes in renal transplant biopsies, thyroid cytology, and gastrointestinal cancers . These studies don’t just prove AI’s potential—they reveal what it means for us, the hum...
Oct 25, 2025•26 min•Ep. 168
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 for primary diagnosis—and what that means for the field. We explore the science and strategy behind ...
Oct 21, 2025•1 hr 37 min•Ep. 167
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 I Talk About 1️⃣ From Pixels to Patients We’ve built the infrastructure; now it’s about applying it....
Oct 09, 2025•29 min•Ep. 166
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 implementation and measurable outcomes. We’re no longer just asking “what can AI do?” — we’re seeing how i...
Oct 07, 2025•22 min•Ep. 165
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 the future of medicine. What I Talk About: 1️⃣ Endoscopist Deskilling After AI Exposure (Lancet, 2025...
Oct 05, 2025•54 min•Ep. 164
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 Everest climbs to practical strategies for workflow ownership, clinical trials, and AI-powered biomar...
Oct 02, 2025•30 min•Ep. 163
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. Highlights: [00:03:42] Monika’s path from CROs to biopharma and why color consistency matters in clinic...
Sep 16, 2025•1 hr 26 min•Ep. 162
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 shared honest strategies for implementing AI responsibly and effectively . In this episode, I break dow...
Sep 16, 2025•36 min•Ep. 161
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 human vision—and where it already outperforms us. Episode Highlights: [00:02:49] Neuropathology image...
Aug 31, 2025•25 min•Ep. 160
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 detection in lung cancer —reducing the need for rapid molecular tests by 43%. [00:08:41] Bone marrow AI...
Aug 30, 2025•28 min•Ep. 159
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 workflows. [00:05:40] Grandium desktop scanners – making histology studies more accessible and efficient...
Aug 29, 2025•29 min•Ep. 158
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 Center of Excellence (CPAiCE). This isn’t just another opinion piece — it's your complete guide to u...
Aug 22, 2025•39 min•Ep. 157
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 , where we explore the latest frontier in digital pathology and AI. This time, I reviewed some of the mo...
Aug 21, 2025•35 min•Ep. 156
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 immunology and the evolving immunoscore. If you’re still relying on manual scoring, static staging sys...
Aug 20, 2025•23 min•Ep. 155
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—of integrating AI into our pathology workflows. And yes, I also reveal where to get my histology-in...
Aug 19, 2025•21 min•Ep. 154
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 is about understanding what LLMs actually bring to the table, how they’re being evaluated, and what...
Aug 18, 2025•20 min•Ep. 153
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 digital pathology —and why even the most brilliant algorithm can fail without proper deployment strate...
Aug 15, 2025•43 min•Ep. 152
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 tackle one of the most uncomfortable yet necessary conversations: Ethics and Bias in AI and Machine Learn...
Aug 14, 2025•42 min•Ep. 151
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, ignoring it could cost us innovation—or worse, patient safety. We’re on Part 5 of our 7-part AI in Pathol...
Aug 13, 2025•42 min•Ep. 150
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 knowledge explosion Digital pathology provides standardization, objectivity, and automation beyond glass sli...
Aug 12, 2025•40 min•Ep. 149
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-generative AI . Why does this matter? Because accuracy isn't enough . And not every model metric tells you...
Aug 11, 2025•36 min•Ep. 148
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 generating a single word. It’s the third chapter in our guided AI series, and this time we focus on the model...
Aug 10, 2025•44 min•Ep. 147
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 workflow in our field. From synthetic H&E slides that could pass for real to multimodal agents that can read ...
Aug 09, 2025•53 min•Ep. 146
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 want bookmarked forever (links below 👇). In this episode, I clarify one of the most misunderstood d...
Aug 08, 2025•1 hr 16 min•Ep. 145
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: What LDTs are and why they matter for rare diseases and personalized medicine Why the FDA rule sparke...
Aug 06, 2025•10 min•Ep. 144
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 journey or scaling up with advanced tech, there’s something in this conversation for you. 🎯 Highlights wi...
Jul 16, 2025•44 min•Ep. 143
Send us Fan Mail In this episode, I talk with Tiffany Chen, MD, and Ben Cahoon from Techcyte about Fusion, their new digital pathology platform. Fusion integrates clinical and anatomic pathology workflows, AI algorithms, and electronic health records—all into one streamlined experience. We explore how Fusion simplifies case management, improves diagnostic accuracy, and brings AI-powered pathology into routine practice. Plus, we discuss the importance of open standards, partnerships with Mayo Cli...
Jul 01, 2025•35 min•Ep. 142
Send us Fan Mail Why do so many digital pathology tools stall before they ever reach patients? In this USCAP 2025 special sponsored by Muse Microscopy , I talk with Esther Abels, founder of SolarisRTC, regulatory strategist, and the force behind the first FDA-cleared whole slide imaging system. We break down what startups and established companies must do from day one to succeedbin getting their devices through the FDA. Hint: regulatory strategy isn’t a final step—it’s your starting line. 🧠 Wha...
Jun 09, 2025•19 min•Ep. 141
Send us Fan Mail Can you still call it “digital transformation” if you’re scanning slides and still tethered to glass? This special episode, recorded at USCAP and sponsored by MUSE Microscopy, features Dr. Robert Osamura from Japan. We explore how digital pathology is being implemented across Japanese hospitals, how regulations shape adoption, and where AI and tools like MUSE could fit in a geographically complex healthcare system. We also discuss the real-world utility of direct-to-digital tool...
Jun 05, 2025•24 min•Ep. 140
Send us Fan Mail Why are so many pathologists still afraid of going digital? In this USCAP special episode sponsored by Muse Microscopy, I talk with Dr. Sarah Dry, Chair of Pathology and Laboratory Medicine at UCLA, about real-world adoption, AI fear, and how change is best managed when it's people-led. From her early digital research lab in 2007 to pioneering innovative workflows at UCLA today, Dr. Dry knows how direct-to-digital imaging and AI can enhance, not replace, our work. 🧠 Key Takeawa...
May 23, 2025•20 min•Ep. 139
