Digital Pathology Podcast
Aleksandra Zuraw from Digital Pathology Place discusses digital pathology from the basic concepts to the newest developments, including image analysis and artificial intelligence. She reviews scientific literature and together with her guests discusses the current industry and research digital pathology trends.
Episodes
224 episodes
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, ...
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Episode 228
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24:15
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...
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Episode 227
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23:10
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 ...
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Episode 226
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23:41
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 ...
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Episode 225
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12:36
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...
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Episode 224
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24:31
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...
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Episode 223
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15:55
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...
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Episode 222
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40:36
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...
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Episode 217
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13:56
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...
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Episode 216
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22:26
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, ...
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Episode 215
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22:41
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...
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Episode 214
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22:29
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...
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Episode 213
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19:26
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...
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Episode 212
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21:31
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...
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Episode 211
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16:31
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...
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Episode 210
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15:31
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...
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Episode 209
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14:01
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 ...
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Episode 208
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22:20
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...
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Episode 207
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23:42
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...
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Episode 206
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16:25
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, ...
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Episode 205
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33:23
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...
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Episode 204
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18:47
203: Clarifying Validation Terminologies in Healthcare
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 Summ...
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Episode 203
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12:31
202: Deep Learning for Histopathological Classification of Salivary Gland Tumors
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, B...
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Episode 202
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21:29
201: Confidence-Based AI Pathology for Cholangiocarcinoma Diagnosis
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.
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Episode 201
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11:05
200: Artificial Intelligence in Healthcare: From Diagnosis to Rehabilitation
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 ...
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Episode 200
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20:11
