Digital Pathology Podcast
Episodes
235 episodes
235: From Cytology to Omics: Where Pathology AI Gets Harder
DigiPath Digest #45 asks a practical question: can AI in pathology move from correlation to real clinical use? In this episode, I review four papers that push on that question from different angles: computational pathology moving ...
234: 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...
233: AI-Driven Breast Cancer Staging in Resource-Constrained Settings
Paper Discussed in this Episode:Deep-learning-based breast cancer stage prediction from H&E-stained whole-slide images in resource-constrained settings. Bedőházi Z, Biricz A, Kilim O, et al. Journal of Pathology Informatics 21...
232: AI and Digital Pathology in Case-Based Renal Education
Paper Discussed in this Episode:Integrating AI-Powered Digital Pathology With Case-Based Teaching: A Novel Paradigm for Renal Education in Medical School. Zhou H, Cui L. Clin Teach 2026; 23(3):e70421. doi: 10.1111/tct.70421.
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...
220: UPATHLN: Uncertainty-Aware AI for Pan-Cancer Lymph Node Assessment
Paper Discussed in this Episode: High-Sensitivity Pan-Cancer AI Assessment of Lymph Node Metastasis via Uncertainty Quantification. Wang X, Chen Y, Liu X, et al. npj Digit. Med. (2026).Episode Summary: In this episode, we e...
219: POLARIS: Reliable AI Classification and Risk Stratification of Colorectal Polyps
Paper Discussed in this Episode:Reliable classification of polyps based on artificial intelligence: a development and validation study. Julbø FMI, Henriksen AL, et al. eClinicalMedicine 2026;93: 103826.Episode Summary:
218: AI-Driven Triage for Enhanced Breast Cancer Diagnostic Workflows
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. Yudi Kurniawan Budi Susilo, Dewi Yuliana, S...
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...