Digital Pathology Podcast

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 p...

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...

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 wa...

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 com...

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 groundbre...

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 a...

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...

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 exhau...

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...

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 hu...

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...

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 rea...

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 dis...

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...

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,...

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 int...

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...

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 intellig...

Send us Fan Mail Paper Discussed in this AI Journal Club: "Transforming Gastric Biopsy Diagnostics: Integrating Omics Technologies and Artificial Intelligence" by Nasar Alwahaibi, published in the journal  Biomedicines . Episode Summary: In this episode, we explore how traditional gastric biopsies are getting a massive, sci-fi-level upgrade. For over a century, diagnostic practice has re...

Send us Fan Mail Paper Discussed in this AI Journal Club: From Image-Guided Surgery to Computer-Assisted Real-Time Diagnosis with Hyperspectral and Multispectral Imaging: A Systematic Review in Gynecologic Oncology. Innocenzi C, Pavone M, Seeliger B, et al. Diagnostics 2026. Episode Summary: In this journal club deep dive, we explore a groundbreaking 2026 systematic review that challenges the trad...

Send us Fan Mail If AI can detect patterns we cannot see, how do we know when its answers are clinically trustworthy? In this episode of DigiPath Digest #39 , I explore a big-picture question in digital pathology and medical AI. Many models now match or even exceed human performance in specific diagnostic tasks. But most of that evidence comes from controlled or retrospective datasets. So what hap...

Send us Fan Mail Paper Discussed in this AI Journal Club: Benchmarking large language model-based agent systems for clinical decision tasks. Liu, Y., Carrero, Z.I., Jiang, X. et al. npj Digit. Med. 2026. Episode Summary: In this episode, we dive into a comprehensive 2026 benchmarking study that tests whether the highly hyped "Agentic AI" systems are truly ready to revolutionize clinical...

Send us Fan Mail Paper Discussed in this AI Journal Club: Masry ME, Gnyawali S, Jacobson M, Xue Y, Sen C, Wachs J, Gordillo G. AutoMated Burn Diagnostic System for Healthcare (AMBUSH). Plast Reconstr Surg Glob Open. 2023 Oct 18;11(10 Suppl):128-129.  doi: 10.1097/01.GOX.0000992564.42240.e3. PMCID: PMC10566867. Episode Summary: In this journal club deep dive, we tackle a clinical problem that has f...

Send us Fan Mail Paper Discussed in this AI Journal Club: Wienholt, P., Caselitz, S., Siepmann, R. et al.  Hallucination filtering in radiology vision-language models using discrete semantic entropy. Eur Radiol  (2026). https://doi.org/10.1007/s00330-026-12384-z Episode Summary: In this deep dive, we strip away the marketing hype surrounding medical AI and confront the "black box" proble...

Send us Fan Mail Paper Discussed in this Episode: A Deep Learning Framework for Automated Triage of Breast Cancer Biopsies in Malaysia: A Simulation Study to Reduce Resource Consumption and Diagnostic Turnaround Time. Susilo YKB, Yuliana D, Rahman SA, Leong SL. Clinical Breast Cancer 2026. Episode Summary: In this journal club deep dive on the Digital Pathology Podcast, we explore a 2026 study tac...