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
217 episodes
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
199: Reporting Standards for Medical Foundation and Language Models
Paper Discussed in this Episode:Reporting checklist for foundation and large language models in medical res...
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Episode 199
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22:26
198: AI and Multi Omics Upgrade Gastric Biopsies
Paper Discussed in this Episode: "Transforming Gastric Biopsy Diagnostics: Integrating Omics Technologies and Artificial Intelligence" by Nasar Alwahaibi, published in the journal
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Episode 198
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11:55
197: Optical Biopsies in Gynecologic Oncology surgery
Paper Discussed in this Episode:From Image-Guided Surgery to Computer-Assisted Real-Time Diagnosis with Hyperspectral and Multispectral Imaging: A Systematic Review in Gynecologic ...
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Episode 197
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21:49
196: DigiPath Digest #39 - If AI Sees More Than We Do. What Makes It Clinically Trustworthy?
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 n...
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Episode 196
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26:40
195: Ultrasound AI Outperforms Surgeons Diagnosing Burns
Paper Discussed in this Episode:Masry ME, Gnyawali S, Jacobson M, Xue Y, Sen C, Wachs J, Gordillo G. AutoMated B...
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Episode 195
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24:20
