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
209 episodes
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
194: Medical Agents Fail Real World Stress Tests
Paper Discussed in this Episode:Benchmarking large language model-based agent systems for clinical decision tasks. Liu, Y., Carrero, Z.I., Jiang, X. et al. npj Digit. Me...
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Episode 194
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18:49
193: Entropy as a Lie Detector for Radiology
Paper Discussed in this Episode:Wienholt, P., Caselitz, S., Siepmann, R. et al. Hallucination filtering in radiology vision-language model...
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Episode 193
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22:03
192: AI Detects Hidden Lymph Node Metastases
Paper Discussed in this Episode:Region-Based Segmentation of Lymph Node Metastases in Whole-Slide Images of Colorectal Cancer: A Pilot Clinical Study. Fayzullin A, S...
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Episode 192
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20:23
191: Hallucinations, Agents, and AI in Pathology
Clinical Artificial Intelligence in 2026. Accuracy, Education, and GuardrailsArtificial intelligence is evolving fast in medicine. But how accurate is it. And are we building it safely?In this episode of DigiPath Digest, I ...
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Episode 191
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30:19
190: Can a Better Stain Improve AI in Pathology?
What if one of the biggest sources of diagnostic variability in prostate cancer isn’t the pathologist—but the stain we’ve trusted for decades?In this episode, I speak with Professor Ingid Carlbom, founder of
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Episode 190
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55:50
189: Digital Pathology Deployment Decoded the Rigorous 4 Phase Framework
Sometimes a paper comes out that’s so practical and relevant to what we do in digital pathology that I know we have to talk about it.In this episode, I dive into “A Guide for the Deployment, Validation and Accreditation of Clinical D...
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Episode 189
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22:38
188: AI in Pathology: Biomarkers, Multimodal Data & the Patient
Is AI in pathology actually improving diagnosis — or just adding complexity?In DigiPath Digest #37, we reviewed four recent publications covering AI-based biomarker quantification in glioblastoma, real-world digital workflow int...
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Episode 188
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21:14
187: AI vs. Human Pathologists: Who Sees the Biology of Glioblastoma Better?
Paper Discussed in this Episode:Artificial Intelligence-Based ...
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Episode 187
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19:03
