Digital Pathology Podcast
Episodes
228 episodes
236: Quality, Teaching, and AI: A Practical Shift in Pathology
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, me...
231: The Future of Bone Marrow Biopsy: Omics and AI Integration
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:<...
230: Artificial Intelligence in Clinical Oncology: Multimodal Integration and Translational Development
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 Lette...
229: Spatial Omics and AI for Clinically Actionable Cancer Biomarkers
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 ...
228: GPT-5 and Gemini 2.5 Pro read pathology slides - here is how they did…
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, ...
227: Implementing Generative AI and LLM Assistants in Oncology Practice
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 o...
226: LLM Performance in Cervical Cytology Interpretation: GPT-5 vs. Gemini 2.5
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 ...
225: Artificial Intelligence in Oral Oncology: Diagnosis and Therapeutic Integration
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 ...
224: AI and Computational Pathology in Breast Cancer Care
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 R...
223: You Don’t Need a Scanner to Start Digital Pathology | ACVP Podcast
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 compl...
222: From Slides to Survival: Can AI Close the Gap?
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 lo...
217: AI vs. Pathologist: Validating Ki-67 Assessment in Pulmonary Neuroendocrine Neoplasms
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, Turk...
216: Multimodal Deep Learning for Predicting Cervical Cancer Survival Outcomes
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...
215: Pathology-Driven Strategies in Neoadjuvant Immunotherapy for Head and Neck Squamous Cell Carcinoma
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, ...
214: AI and Automation in Modern Hematologic Diagnostics
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...
213: Quantitative Regression of qFibrosis with Resmetirom in MAESTRO-NASH Trial
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 Hepatolog...
212: Digital Twins in Neuro-Oncology: A Systematic Review
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, Pr...
211: USCAP2026-What Real Life Lab Partnership Looks Like in Digital Pathology with Hamamatsu & Agilent Technologies
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, MAKIN...
210: Why Partnerships Matter in Digital Pathology with Hamamatsu
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 co...
209: USCAP 2026: Digital Pathology 101 With Hamamatsu
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 Patholo...
208: A Comprehensive European Colorectal Cancer Cohort Dataset
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 ...
207: Deep Learning for Histopathological Classification of Salivary Gland Tumors
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...
206: AI Applications in Oral and Maxillofacial Pathology
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...
205: What Makes AI Useful in Pathology Beyond the Demo?
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, ...
204: Assessing interstitial fibrosis and tubular atrophy in kidney biopsies artificial intelligence versus humans
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, 2...
