Send us Fan Mail Where is AI in pathology actually becoming useful right now? In this episode of DigiPath Digest , I review 4 new PubMed papers across digital pathology , whole slide imaging (WSI) , computational pathology , medical education , forensic pathology , and breast cancer AI . We look at a deep learning tool for coronary artery stenosis measurement in forensic autopsies, an AI-powered digital pathology model for renal pathology education , an open-source quality control tool for prost...
Apr 25, 2026•36 min•Ep. 236
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 multi-o...
Apr 20, 2026•21 min•Ep. 231
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 highlights t...
Apr 20, 2026•21 min•Ep. 230
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 ev...
Apr 20, 2026•23 min•Ep. 229
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 standing...
Apr 11, 2026•24 min•Ep. 228
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 overwhelm...
Apr 10, 2026•23 min•Ep. 227
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 accuratel...
Apr 10, 2026•24 min•Ep. 226
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 March...
Apr 10, 2026•13 min•Ep. 225
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 exami...
Apr 10, 2026•25 min•Ep. 224
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 ste...
Apr 08, 2026•16 min•Ep. 223
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 and...
Apr 06, 2026•41 min•Ep. 222
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 evaluates ...
Apr 02, 2026•14 min•Ep. 217
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, and ...
Apr 02, 2026•22 min•Ep. 216
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. We ...
Apr 02, 2026•23 min•Ep. 215
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 ne...
Apr 02, 2026•22 min•Ep. 214
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 (MAES...
Apr 02, 2026•19 min•Ep. 213
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 exam...
Apr 01, 2026•22 min•Ep. 212
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, ...
Mar 30, 2026•17 min•Ep. 211
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 for labs trying to bui...
Mar 27, 2026•16 min•Ep. 210
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 quest...
Mar 23, 2026•14 min•Ep. 209
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 that...
Mar 21, 2026•23 min•Ep. 208
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 requir...
Mar 21, 2026•25 min•Ep. 207
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 mat...
Mar 21, 2026•18 min•Ep. 206
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 fibro...
Mar 21, 2026•33 min•Ep. 205
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 pathologis...
Mar 20, 2026•19 min•Ep. 204
Send us Fan Mail Paper Discussed in this Episode: Clarifying validation terminologies in healthcare. Amanda Dy, Sandra M. Buetow, Andrew J. Bredemeyer, et al. npj Digit. Med. (2026). https://doi.org/10.1038/s41746-026-02471-2. Episode Summary: In this deep dive, we unpack the silent chaos surrounding a single, universally used word in healthcare innovation: "validation". Exploring a 2026 paper by the Pathology Innovation Collaborative Community (PIcc), we uncover how differing definitions of thi...
Mar 19, 2026•14 min•Ep. 203
Send us Fan Mail Paper Discussed in this Episode: Deep learning-based histopathological classification and subclassification of benign and malignant salivary gland tumors. Weber A, Schuster D, Heyer J, Becker C, Burkhardt V, Werner M, Spörlein A, Bronsert P, Schulz T. European Archives of Oto-Rhino-Laryngology 2026. Episode Summary: In this journal club deep dive of the Digital Pathology Podcast, we explore a chaotic microscopic landscape to see if artificial intelligence can master one of the m...
Mar 19, 2026•23 min•Ep. 202
Send us Fan Mail Paper Discussed in this Episode: A confidence-based, artificial intelligence pathology model for diagnosis of intrahepatic cholangiocarcinoma. Chang, Jay, Calderaro, et al. Annals of Oncology 2026. DOI: 10.1016/j.annonc.2026.02.018. Episode Summary: In this journal club deep dive, we tackle one of the most frustrating diagnostic puzzles in liver cancer: differentiating primary intrahepatic cholangiocarcinoma (ICCA) from metastatic liver cancers. We examine a groundbreaking 2026 ...
Mar 19, 2026•12 min•Ep. 201
Send us Fan Mail Artificial Intelligence in Healthcare: From Diagnosis to Rehabilitation. Witek K, Nowocien M, Gerlach J, et al. Cureus 2026 Jan 25;18(1):e102286. Episode Summary: In this journal club deep dive on the Digital Pathology Podcast, we completely bypass the venture capital hype and science fiction narratives to look strictly at the hard clinical evidence surrounding artificial intelligence in medicine. We examine a monumental 2026 narrative review synthesizing a full decade's worth o...
Mar 12, 2026•21 min•Ep. 200
Send us Fan Mail Paper Discussed in this Episode: Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline. Mese I, Akinci D’Antonoli T, Bluethgen C, et al. Diagn Interv Radiol 2026. Episode Summary: In this special journal club edition of the digital pathology podcast, we tackle a massive structural problem in medical imaging and AI: the rapid adoption of foundation models and large language models (LLMs) that are completely...
Mar 12, 2026•24 min•Ep. 199
