All Episodes
Digital Pathology Podcast — 239 episodes
239: Can AI Copilots Keep Up with Pathologists?
238: How Do We Know AI Is Ready for Pathology
237: Why Pathology Vendor's Don't Speak the Same Language?
236: What Happens When a Patient Sees Their Cancer for the First Time | Podcast with Michele Mitchell
235: From Cytology to Omics: Where Pathology AI Gets Harder
234: Quality, Teaching, and AI: A Practical Shift in Pathology
233: AI-Driven Breast Cancer Staging in Resource-Constrained Settings
232: AI and Digital Pathology in Case-Based Renal Education
231: The Future of Bone Marrow Biopsy: Omics and AI Integration
230: Artificial Intelligence in Clinical Oncology: Multimodal Integration and Translational Development
229: Spatial Omics and AI for Clinically Actionable Cancer Biomarkers
228: GPT-5 and Gemini 2.5 Pro read pathology slides - here is how they did…
227: Implementing Generative AI and LLM Assistants in Oncology Practice
226: LLM Performance in Cervical Cytology Interpretation: GPT-5 vs. Gemini 2.5
225: Artificial Intelligence in Oral Oncology: Diagnosis and Therapeutic Integration
224: AI and Computational Pathology in Breast Cancer Care
223: You Don’t Need a Scanner to Start Digital Pathology | ACVP Podcast
222: From Slides to Survival: Can AI Close the Gap?
220: UPATHLN: Uncertainty-Aware AI for Pan-Cancer Lymph Node Assessment
219: POLARIS: Reliable AI Classification and Risk Stratification of Colorectal Polyps
218: AI-Driven Triage for Enhanced Breast Cancer Diagnostic Workflows
217: AI vs. Pathologist: Validating Ki-67 Assessment in Pulmonary Neuroendocrine Neoplasms
216: Multimodal Deep Learning for Predicting Cervical Cancer Survival Outcomes
215: Pathology-Driven Strategies in Neoadjuvant Immunotherapy for Head and Neck Squamous Cell Carcinoma
214: AI and Automation in Modern Hematologic Diagnostics
213: Quantitative Regression of qFibrosis with Resmetirom in MAESTRO-NASH Trial
212: Digital Twins in Neuro-Oncology: A Systematic Review
211: USCAP2026-What Real Life Lab Partnership Looks Like in Digital Pathology with Hamamatsu & Agilent Technologies
210: Why Partnerships Matter in Digital Pathology with Hamamatsu
209: USCAP 2026: Digital Pathology 101 With Hamamatsu
208: A Comprehensive European Colorectal Cancer Cohort Dataset
207: Deep Learning for Histopathological Classification of Salivary Gland Tumors
206: AI Applications in Oral and Maxillofacial Pathology
205: What Makes AI Useful in Pathology Beyond the Demo?
204: Assessing interstitial fibrosis and tubular atrophy in kidney biopsies artificial intelligence versus humans
203: Clarifying Validation Terminologies in Healthcare
202: Deep Learning for Histopathological Classification of Salivary Gland Tumors
201: Confidence-Based AI Pathology for Cholangiocarcinoma Diagnosis
200: Artificial Intelligence in Healthcare: From Diagnosis to Rehabilitation
199: Reporting Standards for Medical Foundation and Language Models
198: AI and Multi Omics Upgrade Gastric Biopsies
197: Optical Biopsies in Gynecologic Oncology surgery
196: DigiPath Digest #39 - If AI Sees More Than We Do. What Makes It Clinically Trustworthy?
195: Ultrasound AI Outperforms Surgeons Diagnosing Burns
194: Medical Agents Fail Real World Stress Tests
193: Entropy as a Lie Detector for Radiology
221: Deep Learning Triage for Malaysian Breast Cancer Biopsies
192: AI Detects Hidden Lymph Node Metastases
191: Hallucinations, Agents, and AI in Pathology
190: Can a Better Stain Improve AI in Pathology?
189: Digital Pathology Deployment Decoded the Rigorous 4 Phase Framework
188: AI in Pathology: Biomarkers, Multimodal Data & the Patient
187: AI vs. Human Pathologists: Who Sees the Biology of Glioblastoma Better?
186: Beyond the Glass Slide – Fusing Pathology and Genomics into 64-Bit Barcodes
185: The Patient's Voice: AI and Digital Pathology in Cancer Care
184: Digital Pathology Guidelines: What Every Lab Must Get Right
183: Guidelines for the adoption of digital pathology in clinical pathology units recommended by the polish society of pathologists - AI Publication Review
182: AI, Quality, and Standards: The Next Chapter of Digital Pathology
181: Can AI Read Clinical Text, Tissue, and Costs Better Than We Can?
180: Digital Pathology Recap 2025
179: How is the BigPicture Project using Foundation Models and AI in Computational Pathology?
178: Live from London: Essential Digital Pathology & AI Insights 2025
177: From Curiosity to Confidence in Digital Pathology
176: Can AI Protect Patients? Forensics, Pathomics & Breast Cancer Insights
175: Deploying Digital Pathology Tools - Challenges and Insights with Dr. Andrew Janowczyk
174: How Do We Fix the Bias in Biomedical AI Podcast with Victor CEO and Founder of Omica.Ai
173: AI and the Human Touch: Patient Safety, Prognosis & Voice Biomarkers
172: Why Structured Reporting Is the Future of Pathology | mTuitive on Workflow, Data & Compliance with Peter O'Toole
171: Real-World Digital Readiness: Turning Stains into Reliable Scans
170: Inside SITC 2025: How Multiplex IF Is Changing Cancer Care
169: AI Across Organ Systems: Kidney, Liver, Colon, Bladder, and Beyond
168: Smarter Slides: How AI Is Reshaping Kidney, Thyroid & GI Pathology
167: Why Accuracy Matters in Digital Pathology Podcast with Keith Wharton, Jr.
166: Future of Pathology AI, Training & The Next Generation of Diagnostics
165: How AI Is Changing Cancer Diagnosis Insights from PathVision 2025
164: What Happens to Human Expertise When AI Takes Over in Medicine
163: Digital Diagnostics Summit 2025 Innovation in Action - Conference Update
162: How Color Impacts Every Diagnosis |Color Calibration in Digital Pathology w/ Tom Kimpe (Barco) and Monika Lamba Saini
161: 7 Secrets to Smarter AI in Cancer Care | Lessons from NCCN Summit
160: AI in Medicine: Neuropathology, Renal Disease, Hematology & Cytology
159: What If Your AI Tool Is Lying: Hidden Bias in Pathology Algorithms
158: Multimodal Magic AI’s Role in Lung & Prostate Cancer Predictions
157: How Academic Pathology Programs Can Prepare for AI | UPMC Podcast
156: Digital Pathology and AI in Cancer Grading, T-Cell Imaging & Biomarkers
155: AI Pathology & Genomics_ A New Benchmark for Predicting Gene Mutations
154: AI in Pathology: Advances in Prostate, Bladder & Endocrine Cancer
153: Can GPT-4o Classify Tumors Better Than Us? AI-Powered Pathology Insights
152: AI in Pathology, ML-Ops, and the Future of Diagnostics – 7-Part Livestream 7/7
151: Ethics and Bias Considerations in AI – 7-Part Livestream 6/7
150: AI in Pathology – Regulatory Aspects of AI – 7-Part Livestream 5/7
149: AI in Pathology: From Pixels to Patients with Dr. Anil Parwani
148: Statistics of Generative and Non-Generative AI – 7-Part Livestream 4/7
147: Non-Generative AI – Predictive Analytics & ML – 7-Part Livestream 3/7
146: Generative AI – Deeper Dive – 7-Part Livestream 2/7
145: The Role of Generative vs Non-Generative AI in Medical Diagnostics – 7-Part Livestream 1/7
144: Court Halts FDA Rule on Lab-Developed Tests: What It Means for Pathology
143: Modular Scanners, Cytology, and AI Integration in Digital Pathology
142. First All-in-One Digital Pathology Tool: Techcyte's Fusion Platform to Improve Pathologists' Workflow and Integrate AI.
141: Digital Pathology Tools: How To Get Them FDA Approved?
140: How Are Pathologists in Japan Using AI and Digital Tools? Podcast with Dr. Robert Osamura
139: Why AI Won't Replace Pathologists and How It Can Help Them Thrive
138: Future of Pathology Across Continents Podcast with Dr. Junya Fukuoka and Dr. Norman Zerbe
137: What’s Driving Digital Pathology Forward? | Insights from PathVisions 2024
136: Trends in Digital Pathology and AI Integration | Podcast with Alae Kawam, DO, FCAP
135: Inside the Asian Society of Digital Pathology | Podcast with Junya Fukuoka, MD, PhD
134: AI Trust Issues, Challenges, and Multimodal Insights in Pathology with Hamid R. Tizhoosh, PhD
133: The World Tumor Registry A Global Resource for Pathology and Patient Care
132: Ethical and Bias Considerations in Artificial Intelligence/Machine Learning
131: USCAP 2025 DAILY UPDATE | DAY 4
130: USCAP 2025 DAILY UPDATES | DAY 3
129: USCAP 2025 DAILY UPDATES | DAY 2
128: USCAP 2025 DAILY UPDATES | DAY 1
127: This New Way to See Disease Will Transform Medicine. Direct to Digital Imaging in Pathology w/ Matthew Nuñez, CEO, Muse Microscopy
126: How Can Digital Pathology Workflows Stay Compliant and Efficient w/ Scott Randall, Hamamatsu and and Amanda Coble, Proscia
125: Direct-to-Digital Tissue Imaging | Interview with Drs. Rao and Edwards, Muse Microscopy
124: Slide-free Digital Pathology | Deep Dive into Muse Microscopy
123: Generative AI: Deeper Dive
122: The Role of Generative vs. Non-Generative AI in Medical Diagnostics
121: How Pathology Images Can Transform Cancer Understanding w/ Dr. Lija Joseph
120: DigiPath Digest #21 | AI's Role in Prostate & Breast Cancer Diagnosis and Collaborative Annotation Tools
119: DigiPath Digest #19 | Cytology's Digital Revolution, Prostate Cancer Tsunami + Live AI Demo
118: Why are So Few Pathologists Attending Digital Pathology Conferences
117: Tertiary Lymphoid Structures in Colorectal Cancer Prognosis | Dr. Aleks + AI
116: DigiPath Digest #18 | Federated Learning in Pathology. Developing AI Models While Preserving Privacy
115: Pathology Meets AI: Combining Veterinary and Medical Pathology for Digital Advancements w/ Richard Doughty, DVM, MD, MSc AIFORIA
114: Radiology Partners’ approach to clinical AI applications: w/ Nina Kottler, MD, MS, FSIIM | Radiology Partners
113: DigiPath Digest #16 | PathVisions Recap, Ai in Breast Cancer Diagnostics and Global Health
112: AI's GROWING ROLE IN THE FUTURE OF PATHOLOGY W/ Adam Cole and Jason Camilletti
111: FDA and LDT's what does it actually mean for the labs? Kitchen chat w/ Dr. Thomas Nifong
110: Can AI Improve Veterinary Diagnostics and Academic Efficiency w/ Candice Chu, DVM, PhD, DACVP, Texas A&M
109: How AI is Transforming Veterinary Diagnostics w/ Richard Fox, DVM, Dipl ECVP | Aiforia
108: DigiPath Digest #14 (AI in Pathology: Case Prioritization, Kidney Biopsy Analysis and the Need for Consistent TIL Quantification).
107: DigiPath Digest #13 (Revolutionizing Pathology with AI: Insights from PD-1 to Prostate Cancer Predictions)
106: Blind expert pathology opinions enabled digital pathology help win legal cases w/ Stephanie Franckewitz, JD, MBA
105: Artificial intelligence in pathology Part 1 - the presentation I gave on the day I got engaged.
104: DigiPath Digest #12 (AI in Pathology: From Retinal Screening to Global Cancer Diagnostics + my new AI Co-Hosts)
103: DigiPath Digest #11 (Pathology & AI: Metastasis Detection, Fast Annotations & Foundation Models)
102: DigiPath Digest #10 (From HER2 Low to Gleason Grading: AI in Digital Pathology Research)
101: Image Analysis Enhances Pathology Evaluation of Preclinical Studies, not Replaces it
100: AI in Pathology: DigiPath Digest #9 (From Retinal Assessment to Tumor Prognostics)
99: DigiPath Digest #7 (Exploring AI-driven advances in digital pathology from T-cell signatures to synthetic images)
98: DigiPath Digest #6 (Foundation models high level overview)
97: DigiPath Digest #5 (AI in Modern Medicine: Diagnostics and Healthcare Outcomes)
96: Achieving Work-Life Balance in Medicine as a Pathologist with Digital Pathology w/ Todd Randolph, MD
95: DigiPath Digest #3 (AI and Digital Pathology: Innovations in Disease Detection and Prognosis Abstract Review)
94: Dr. Aleks Zuraw on "People of Pathology" Podcast | Digital Pathology 101 Book
93: DigiPath Digest #2 (Why Digital Pathology Newsletter Audio Died and What I Am Doing Instead)
92: Radiology's Digital Transformation: Lessons for Pathology's Journey w/ Greg Rose, MD, PHD
91: Using AI in Pathology to Benefit Patients w/ Mariano de Socarraz, CorePlus
90: Swarm Learning: The Future of AI Collaboration in Digital Pathology w/ Oliver Saldanha
89: Navigating Ethical Challenges in AI-Powered Pathology | Webinar recording
88: Artificial Intelligence & Machine Learning: Transforming Pathology | Webinar
87: Digital Pathology Applications. From Clinical Practice to Drug Development | Webinar
86: Current Digital Pathology Trends: Post-conference Recap from USCAP 2024 (Unscripted)
85: Digital Pathology for Community Hospitals | Dr. Elizabeth Plocharczyk
84: Remote Second Opinion. The Perfect Digital Pathology Use Case w/ Dr. Rajendra Singh, PathPresenter
83: The Evolution of Pathology on the Web and Beyond w/ Keith Kaplan, MD | tissuepathology.com
82: Digital Pathology Newsletter no. 2 (26 Jan 2024)
81: No More Microscopes. How close are we to glassless pathology? | w/ Dr. Richard Levenson, UC Davis Health
80: Digital Pathology Newsletter no. 1 (10 Jan 2024)
79: How AI is Transforming Pathology in Developing Countries | Digital Pathology in Pakistan w/ Talat Zehra
78: Exploring Open-Source for Tissue Image Analysis and Data Science Business w/ Trevor McKee, Pathomics.io
77: ChatGPT Conundrum
76: 12 Years of Digital Pathology Innovation and What to Expect Next w/ Kate Lillard Tunstall, Indica Labs
75: Digital Pathology 101 Chapter 5 | The Role of Whole Slide Imaging in Toxicologic Pathology
74: Digital Pathology 101 Chapter 4 | Digital Pathology Applications
73: Digital Pathology 101 Chapter 3 | Image Analysis, Artificial Intelligence, and Machined Learning in Pathology
72: Digital Pathology 101 Chapter 2 | Challenges and Benefits of Digital Pathology
71: Digital Pathology 101 Chapter 1 (Part 2) | Are Pathologists at Risk in the Digital Age?
70: Digital Pathology 101 Chapter 1 (Part 1) | Digital Pathology Milestones and Basic Digitalization Concepts
69: How to Set Realistic Expectation in Digital Transformation w/ Anil Parwani, Ohio State University
68: The Evolution of Digital Pathology: 2013 vs. 2023 w/ Dr. Matthew O. Leavitt, DDx Foundation
67: What Is the Role of Digital Pathology in Clinical Trials w/ Monika Lamba Saini
66: What You Need to Know About Digital Pathology Trends: Takeaways from the DP & AI Global Engage Event with Giovanni Lujan
65: What Is Translational Research In Digital Pathology? /w Anant Madabhushi, Emory University & Georgia Tech
64: How To Overcome Challenges In Image Analysis For Spatial Biology w/ Lorenz Rognoni, Ultivue
63: Is this the year of AI in pathology? And what about ChtGPT? A crossover podcast with Beyond the Scope.
62: Changing Stereotypes of Pathology. How Pathologists Contribute to Patient Care w/ Marilyn Bui, Moffitt Cancer Center
61: The best online pathology book ever w/ Nat Pernick, PathologyOutlines.com
60: End-to-End Solution for Digital Pathology w/ Leif Honda, TriMetis Life Sciences
59: Top 5 Mistakes you must AVOID in using Machine Learning for pathology w/ Heather Couture, PixelScientia Labs
58: The Regulatory Aspect of Digital Pathology and Translational Medicine w/ Esther Abels
57: Beyond innovation - how to embrace responsibility and leadership in digital pathology at a personal and national level w/ Inti Zlobec
56: The beginnings of computational pathology w/ Jeroen van der Laak, Radboud UMC
55: Merging hardware and software to deliver 2nd generation digital pathology w/ Prasanth Perugupalli, Pramana
54: Cytomine - a free the tissue image analysis tool for all: pathologists, developers and the lab w/ Gregoire Vincke, Cytomine
53: Why digital pathology will be mainstream soon w/ Aleksandra Zuraw, Digital Pathology Place
52: What does the FDA say about non-clinical digital pathology for GLP?
51: What should we fix in digital pathology with Puneet Pantane, Crosscope
50: How to approach colon cancer with supervised deep learning image analysis w/ Rish Pai, Mayo Clinic
49: Scaling up your digital pathology operations with Mark Zarella, Mayo Clinic
48: What the heck is DICOM in Pathology? w/ David Clunie, PixelMed Publishing
47: Artificial Intelligence in Digital Pathology (a conference talk recording) w/ Aleksandra Zuraw
46: Leveraging the power of static telecytology for veterinary diagnostics w/ Kate Baker
45: What's up in Digital Pathology - a crossover podcast with Beyond the Scope
44: Weakly supervised AI for pathology w/ Geert Litjens, RadboudUMC
43: Never miss a piece of digital pathology knowledge ever again! Digital Pathology Place and Pathology News partnership w/ Jonathon Tunstall
42: BigPicture - the largest whole slide repository for AI model development in pathology. Where do we stand at month 15/72?
41: Digital Pathology for Dermatologists. How Pathology Watch managed to incorporate digital pathology in dermatology practices across the US w/ Dan Lambert, Pathology Watch
40: A simple microscope camera, whole slide scanner and everything in between. The different tiers of digital pathology w/ Mike Miller, I. Miller Microscopes
39: How image analysis and artificial intelligence support digital pathology-enabled precision medicine today and what to expect in the future w/ Michael Grunkin, Visiopharm
38: From digital microscopy to digital pathology through image analysis. How far have we come in 20 years? w/ Michael Grunkin, Visiopharm
37: How tissue clearing - based 3D immunofluorescence allows for seeing more biology in the tissue w/ Sharla White, ClearLight Biotechnologies
36: DICOM standard for pathology annotations. Why do we need it? w/ David Clunie, PixelMed Publishing
35: Digital veterinary cytology and social media teaching w/ Kate Baker, Veterinary Cytology Schoolhouse
34: 5 ways to make histopathology image models more robust to domain shift w/ Heather Couture, Pixel Scientia Labs
33: Smart in Media - the virtual microscopy hub w/ Martin Weihrauch MD, Smart in Media
32: Why machine learning expertise is needed for digital pathology projects w/ Heather Couture, Pixel Scientia Labs
31: AI-powered digital diagnostic tools for medical, veterinary and environmental laboratories. How Techcyte uses AI for digital cytology and smears w/ Ben Cahoon, Techcyte
30: Microscope phone adapter that can bring digital pathology to everyone w/ Cade Wilson, Skoped Micro
29: An easy AI tool for pathology image analysis. How Aiforia empowers pathologists and scientists with supervised deep learning w/ Tuomas Ropponen, Aiforia
28: QuPath - open source quantitative pathology not only for pathologists w/ Pete Bankhead, University of Edinburgh
27: Immuno-oncology 101 w/ Elfirede Nößner, HelmholzZentrum, Visiopharm advisor
26: How to choose a digital slide scanner w/ Doug Stapleton, Hamamatsu
25: Virtual H&E. How Instapath uses optical sectioning microscopy to accelerate pathology diagnosis w/ David Tulman, Instapath
24: What to consider when choosing an image analysis solution for phenotyping? (part 3) w/ Regan Baird, Visiopharm
23: How to make sense of multiplex data with phenotyping? (part 2) w/ Regan Baird, Visiopharm
22: OracleBio's path to GCP compliant image analysis clinical trail support w/ Lorcan Sherry, OracleBio
21: Introduction to multiplex for tissue image analysis (part 1) w/ Regan Baird, Visiopharm
20: Accelerating custom design of AI image analysis algorithms for drug development using transfer learning w/ Sylvain Berlemont, Keen Eye
19: A new generation of whole slide scanners: faster, smarter, and more flexible w/ Don Van Dyke, Bionovation
18: Reimbursement for digital pathology in the clinic – how does that work? w/ Esther Abels, Visiopharm
17: Why and how should pathologists keep up with AI? w/ David Harrison, University of St. Andrews
16: Virtual Immunohistochemistry. How Owkin uses artificial intelligence to generate IHC stains without antibodies w/ Victor Dillard
15: Why and how is AI taking over the tissue image analysis field? w/ Jeppe Thagaard, Visiopharm
14: HistoQC, an open-source way to control the quality of pathology images
13: How Aira Matrix supports digital pathology with deep learning on demand w/ Chaith Kondragunta
12: Why and how should digital pathology be implemented into clinical practice? w/ Ralf Huss
11: DIY AI-based image analysis for pathology. How DeePathology incorporated respect for pathologists' time into their software w/ Chen Sagiv
10: Remote toxicologic pathology. How Deciphex is accelerating the non-clinical drug development phase w/ Donal O'Shea.
9: Digital pathology in a suitcase. How Grundium's portable whole slide scanning microscope expands the reach of telepathology w/ Mika Kuisma
8: What is validation and how to validate an AI image analysis solution with Tom Westerling-Bui from Aiforia
7: Pro bono telepathology w/ Jared Block and Gabe Siegel.
6: Digital pathology for microscope lovers. How Augmentiqs approaches digital pathology differently w/ Gabe Siegel.
5: HistoWiz: fast histology and an image database for mining from Brooklyn NY w/ Ke Cheng
4. PathPresenter a tool to make killer pathology presentations and much more w/ Rajendra Singh, MD
3: Proscia’s tools and vision for modern pathology w/ Nathan Buchbinder.
2: How to get microscopes to where there are no microscopes? The X-wow project w/ Yuchun Ding.
1: Welcome to the Digital Pathology Podcast!