Digital Pathology Podcast
by Aleksandra Zuraw, DVM, PhD
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Recent episodes
236: Quality, Teaching, and AI: A Practical Shift in Pathology
Apr 25, 2026
35m 51s
231: The Future of Bone Marrow Biopsy: Omics and AI Integration
Apr 20, 2026
20m 47s
230: Artificial Intelligence in Clinical Oncology: Multimodal Integration and Translational Development
Apr 20, 2026
20m 51s
229: Spatial Omics and AI for Clinically Actionable Cancer Biomarkers
Apr 20, 2026
22m 37s
228: GPT-5 and Gemini 2.5 Pro read pathology slides - here is how they did…
Apr 11, 2026
24m 15s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 4/25/26 | 236: Quality, Teaching, and AI: A Practical Shift in Pathology✨ | AI in pathologydigital pathology+4 | — | PubMedAI+6 | — | digital pathologyAI+5 | — | 35m 51s | |
| 4/20/26 |  231: The Future of Bone Marrow Biopsy: Omics and AI Integration | Send us Fan Mail Paper Discussed in this Episode: Advancements in bone marrow biopsy: the role of omics and artificial intelligence in hematologic diagnostics. Maryam Alwahaibi and Nasar Alwahaibi. Front. Med. 2026; 13:1772478. Episode Summary: In this journal club deep dive, we explore a paradigm shift in hematopathology, moving from 19th-century visual assessments to the cutting edge of precision medicine. We examine a 2026 review that unpacks how combining artificial intelligence with mult... | 20m 47s | ||||||
| 4/20/26 |  230: Artificial Intelligence in Clinical Oncology: Multimodal Integration and Translational Development | Send us Fan Mail Paper Discussed in this Episode: Artificial intelligence in clinical oncology: Multimodal integration and translational development. Ruichong Lin, Zhenhui Zhao, Zhonghai Liu, Jin Kang, Kang Zhang, Xiaoying Huang, Yunfang Yu. Cancer Letters 2026; Volume 649, 218493. Episode Summary: In this journal club deep dive, we explore how cutting-edge AI is fundamentally rewriting the rules of cancer diagnostics. We examine a comprehensive 2026 review on clinical oncology that highlight... | 20m 51s | ||||||
| 4/20/26 |  229: Spatial Omics and AI for Clinically Actionable Cancer Biomarkers | Send us Fan Mail Paper Discussed in this Episode: Spatial omics and AI for clinically actionable cancer biomarkers. Reitsam NG. PLoS Med 2026; 23(4): e1005049. Episode Summary: In this deep dive, we explore how artificial intelligence and spatial omics are fundamentally rewriting the rules of cancer diagnostics. We break down a 2026 editorial that challenges a deceptively simple question driving modern oncology: Is a tumor "positive" or "negative" for a biomarker? As targeted cancer therapies... | 22m 37s | ||||||
| 4/11/26 | 228: GPT-5 and Gemini 2.5 Pro read pathology slides - here is how they did… | Send us Fan Mail I did something I've never done before for this episode — I went live from the middle of a national park. This is DigiPath Digest #42, broadcasting from the Great Sand Dunes National Park in Colorado via Starlink from my family road trip. Yes, it actually worked. And so did the papers. This episode covers four papers that all ask the same uncomfortable question from different angles: how close is AI to being genuinely useful in real pathology practice — and what's still stand... | 24m 15s | ||||||
| 4/10/26 |  227: Implementing Generative AI and LLM Assistants in Oncology Practice | Send us Fan Mail Paper Discussed in this Episode: How to bring generative AI to oncology practice. D. Truhn & J. N. Kather. ESMO Real World Data and Digital Oncology 2026. Episode Summary: In this journal club deep dive, we step out of the theoretical sci-fi hype of artificial intelligence and look at a practical, real-world roadmap for bringing Generative AI into oncology. We examine a 2026 paper that maps out the trajectory for deploying Large Language Models (LLMs) to combat the overwh... | 23m 10s | ||||||
| 4/10/26 |  226: LLM Performance in Cervical Cytology Interpretation: GPT-5 vs. Gemini 2.5 | Send us Fan Mail Paper Discussed in this Episode: Can large language models like ChatGPT and Gemini interpret cervical cytology accurately? Saroja Devi Geetha. Annals of Diagnostic Pathology 2026; Volume 83, 152641. Episode Summary: In this journal club deep dive, we explore what happens when advanced artificial intelligence is thrown into the visually chaotic realm of human biology. We examine a 2026 study evaluating whether two massive multimodal models—GPT-5 and Gemini 2.5 Pro—can accurate... | 23m 41s | ||||||
| 4/10/26 |  225: Artificial Intelligence in Oral Oncology: Diagnosis and Therapeutic Integration | Send us Fan Mail Paper Discussed in this Episode: Artificial intelligence in oral oncology: Current advances and future potential in diagnosis, prognosis, and therapeutic decision-making. Annamalai A, Dhanes V, Jayalakshmi L, Shanmugam R, Ravi S. Cancer Treatment and Research Communications 47 (2026) 101193. Episode Summary: In this journal club deep dive, we explore how AI is fundamentally reshaping the clinical management of Oral Squamous Cell Carcinoma (OSCC). We examine a comprehensive Ma... | 12m 36s | ||||||
| 4/10/26 |  224: AI and Computational Pathology in Breast Cancer Care | Send us Fan Mail Paper Discussed in this Episode: How artificial intelligence applied to digital pathology could guide treatment personalization in breast cancer. T. Ruelle, T. Grinda, L. Del Mastro, M. Lacroix-Triki, B. Pistilli & G. Gessain. ESMO Real World Data and Digital Oncology 2026. Episode Summary: In this journal club episode, we step into the reality of computational pathology and explore how artificial intelligence is fundamentally transforming breast cancer diagnostics. We ex... | 24m 31s | ||||||
| 4/8/26 | 223: You Don’t Need a Scanner to Start Digital Pathology | ACVP Podcast | Send us Fan Mail You don't need a fancy scanner, a huge budget, or a computational background to get started in digital pathology. That's what I told the ACVP podcast — and I meant it. In this episode, I share my full digital pathology journey: from being completely intimidated by scanners during residency, to building a career that combines toxicologic pathology, image analysis, and remote work at a global CRO. If you're a resident, a trainee, or even a seasoned pathologist who hasn't fully ... | 15m 55s | ||||||
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| 4/6/26 | 222: From Slides to Survival: Can AI Close the Gap? | Send us Fan Mail How close is pathology AI to making decisions that matter in real workflows, real trials, and real patient care? In this episode of DigiPath Digest, I review five recent papers that approach that question from very different angles. We look at multimodal survival prediction in cervical cancer, pathology-driven response assessment in neoadjuvant immunotherapy for head and neck squamous cell carcinoma, AI-assisted Ki-67 scoring in pulmonary neuroendocrine neoplasms, automation ... | 40m 36s | ||||||
| 4/2/26 |  217: AI vs. Pathologist: Validating Ki-67 Assessment in Pulmonary Neuroendocrine Neoplasms | Send us Fan Mail Paper Discussed in this Episode: Ki-67 Proliferation Index in Pulmonary Neuroendocrine Neoplasms: Interobserver Agreement Among Pathologists and Comparison of Two Artificial Intelligence-Based Image Analysis Systems. Teoman G, Turkmen Usta Z, Sagnak Yilmaz Z, Ersoz S. MDPI 2026. Episode Summary: In this journal club deep dive, we step into the lab to examine a direct comparison between expert human pathologists and artificial intelligence. We explore a 2026 study that evaluat... | 13m 56s | ||||||
| 4/2/26 |  216: Multimodal Deep Learning for Predicting Cervical Cancer Survival Outcomes | Send us Fan Mail Deep Learning Can Predict the Overall Survival of Cervical Cancer Based on Histopathological Image, Gene Mutation and Clinical Information. Shen J, Miao Z, Wang L, et al. IET Systems Biology 2026. Episode Summary: In this deep dive, we explore a groundbreaking 2026 study that uses multimodal deep learning to act as a "master diagnostician" for cervical cancer. We examine what happens when an AI is fed a combination of standard clinical data, cutting-edge genetic sequencing, a... | 22m 26s | ||||||
| 4/2/26 |  215: Pathology-Driven Strategies in Neoadjuvant Immunotherapy for Head and Neck Squamous Cell Carcinoma | Send us Fan Mail Paper Discussed in this Episode: Modern Pathology-Driven Strategies in Neoadjuvant Immunotherapy for Head and Neck Squamous Cell Carcinoma: From Residual Tumor Quantification to Spatial and AI-Based Biomarkers. Annabella Di Mauro, Rossella De Cecio, Saverio Simonelli, et al. Cancers (MDPI) 2026. Episode Summary: In this journal club deep dive, we explore a paradigm-shifting 2026 paper that fundamentally fractures our reliance on traditional radiology in head and neck cancer. ... | 22m 41s | ||||||
| 4/2/26 |  214: AI and Automation in Modern Hematologic Diagnostics | Send us Fan Mail Paper Discussed in this Episode: Molecular Pathology, Artificial Intelligence, and New Technologies in Hematologic Diagnostics: Translational Opportunities and Practical Considerations. Alnoor F, Mukherjee S, Menon MP, Ng D, Li P, Ohgami RS. Diagnostics 2026. Episode Summary: In this deep dive, we explore how hematology labs are tackling a massive rise in diagnostic complexity combined with persistent staffing shortages. The solution isn't just working harder—it's an entirely... | 22m 29s | ||||||
| 4/2/26 |  213: Quantitative Regression of qFibrosis with Resmetirom in MAESTRO-NASH Trial | Send us Fan Mail Paper Discussed in this Episode: Quantitative regression of qFibrosis with resmetirom: Exploratory histologic endpoints from the MAESTRO-NASH phase III clinical trial. Schattenberg JM, Bedossa P, Guy CD, et al. Journal of Hepatology 2026; https://doi.org/10.1016/j.jhep.2026.03.021. Episode Summary: In this deep dive, we explore how artificial intelligence is revolutionizing the way we measure liver disease recovery. We examine a groundbreaking 2026 Phase III clinical trial (M... | 19m 26s | ||||||
| 4/1/26 |  212: Digital Twins in Neuro-Oncology: A Systematic Review | Send us Fan Mail Paper Discussed in this Episode: Digital Twins in Neuro-Oncology: A Systematic Review of Current Implementations, Technical Strategies, and Clinical Applications. Annie Singh, Fatima Ahmad Qureshy, Angelica Kurtz, Moinak Bhattacharya, Prateek Prasanna, and Gagandeep Singh. Radiology: Imaging Cancer 2026; 8(2). Episode Summary: In this journal club deep dive, we explore a groundbreaking 2026 systematic review of digital twins in neuro-oncology. We step past the buzzwords and e... | 21m 31s | ||||||
| 3/30/26 | 211: USCAP2026-What Real Life Lab Partnership Looks Like in Digital Pathology with Hamamatsu & Agilent Technologies | Send us Fan Mail Why do digital pathology projects get harder once the real workflow starts? In this USCAP 2026 conversation, I talk with Robert Moody from Hamamatsu and Jake Eden from Agilent about what the conference theme, MAKING CONNECTIONS, looks like in actual digital pathology implementation. This was not just a conversation about products. It was a conversation about workflow. We talked about why consistent staining matters before scanning, why strong partnerships need a shared vision... | 16m 31s | ||||||
| 3/27/26 | 210: Why Partnerships Matter in Digital Pathology with Hamamatsu | Send us Fan Mail Why does digital pathology adoption move faster in some places than others? In this USCAP 2026 conversation, I sat down with Robert Moody and Fumiya Fuji from Hamamatsu to talk about what the conference theme, MAKING CONNECTIONS, really looks like in practice. This was not just a scanner conversation. It was a workflow conversation. We talked about why digital pathology has shifted from a scanner-first mindset to a solution-first one, and why that matters fo... | 15m 31s | ||||||
| 3/23/26 | 209: USCAP 2026: Digital Pathology 101 With Hamamatsu | Send us Fan Mail What makes digital pathology feel so hard to enter, even for smart people already working around it? In this special USCAP conversation, Stephanie Fullerton from Hamamatsu turns the tables and interviews me about Digital Pathology 101 — the book I wrote for people who are starting or continuing their digital pathology journey. We talk about why the book is not meant to be an exhaustive manual, but a practical framework. A way to help people see the full picture, ask better qu... | 14m 01s | ||||||
| 3/21/26 |  208: A Comprehensive European Colorectal Cancer Cohort Dataset | Send us Fan Mail Paper Discussed in this Episode: A comprehensive European Colorectal Cancer Cohort dataset. Holub P, Törnwall O, Garcia Alvarez E, et al. Sci Data (2026). https://doi.org/10.1038/s41597-026-06822-2. Episode Summary: In this journal club edition of the Digital Pathology Podcast, we explore a monumental effort to clear up the diagnostic "muddy waters" of Colorectal Cancer (CRC). We examine a groundbreaking 2026 paper detailing a massive European dataset of 10,780 CRC patients t... | 23m 29s | ||||||
| 3/21/26 |  207: Deep Learning for Histopathological Classification of Salivary Gland Tumors | Send us Fan Mail Paper Discussed in this Episode: The Performance of Artificial Intelligence in Classifying Molecular Markers in Adult-Type Gliomas Using Histopathological Images: Systematic Review. Almaabreh O, Al-Dafi R, Tabassum A, Othman A, Abd-alrazaq A. J Med Internet Res 2026; 28: e78377. Episode Summary: In this deep dive of the Digital Pathology Podcast, we explore the intersection of human limitations and computational power. Following the 2021 World Health Organization mandate requ... | 24m 51s | ||||||
| 3/21/26 |  206: AI Applications in Oral and Maxillofacial Pathology | Send us Fan Mail Paper Discussed in this Episode: Artificial Intelligence and Its Applications in Oral and Maxillofacial Pathology. Veremis B. Dent Clin North Am. 2026 Apr;70(2):403-416. Episode Summary: In this Journal Club edition of the Digital Pathology Podcast, we explore a wild paradox at the bleeding edge of diagnostic medicine. We examine a 2026 paper on artificial intelligence in oral and maxillofacial pathology that reveals a fascinating reality: while highly advanced AI models can ... | 17m 34s | ||||||
| 3/21/26 | 205: What Makes AI Useful in Pathology Beyond the Demo? | Send us Fan Mail What happens when AI looks strong in a paper, but the workflow still isn’t ready? In DigiPath Digest #40, I reviewed five recent papers across kidney pathology, oral and maxillofacial pathology, glioma biomarker prediction, digital twins in neuro-oncology, and a major European colorectal cancer cohort. A common theme kept coming back: good performance is not the same thing as real-world readiness. We started with kidney biopsies and the challenge of assessing interstitial fib... | 33m 23s | ||||||
| 3/20/26 |  204: Assessing interstitial fibrosis and tubular atrophy in kidney biopsies artificial intelligence versus humans | Send us Fan Mail Paper Discussed in this Episode: Assessing interstitial fibrosis and tubular atrophy in kidney biopsies artificial intelligence versus humans. Farris AB, Zukić D, Solez K. Current Opinion in Nephrology and Hypertension. March 16, 2026. Episode Summary: In this journal club deep dive on the Digital Pathology Podcast, we explore the intense debate over quantifying chronic kidney disease progression. We unpack a fresh 2026 study comparing artificial intelligence to human patholo... | 18m 47s | ||||||
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Chart Positions
14 placements across 12 markets.
Chart Positions
14 placements across 12 markets.