
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.
Podcasting since 2019 • 160 episodes
Digital Pathology Podcast
Latest Episodes
160: AI in Medicine: Neuropathology, Renal Disease, Hematology & Cytology
What if the way we quantify pathology is more guesswork than science? In this episode of DigiPath Digest, I take you through the latest research where AI is not just supporting but challenging traditional methods of image analys...
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Episode 160
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25:14

159: What If Your AI Tool Is Lying: Hidden Bias in Pathology Algorithms
What if the AI tools we trust for cancer diagnosis are not always correct? This episode of DigiPath Digest takes on the uncomfortable but critical question: can AI “lie” to us—and how do we verify its performance before adopting it in ...
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Episode 159
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27:49

158: Multimodal Magic AI’s Role in Lung & Prostate Cancer Predictions
What if AI could predict cancer outcomes better than traditional methods—and at a fraction of the cost? In this episode, I explore how multimodal AI is reshaping lung and prostate cancer predictions and why integration challenges still stand in...
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Episode 158
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28:50

157: How Academic Pathology Programs Can Prepare for AI | UPMC Podcast
“AI in Pathology Isn’t Coming — It’s Already Here. Are You Ready?”From confusion to clarity — that’s what this episode is all about. I sat down with Drs. Liron Pantanowitz, Hooman Rashidi, and Matthew Hanna to dissect one of the most imp...
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Episode 157
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38:52

156: Digital Pathology and AI in Cancer Grading, T-Cell Imaging & Biomarkers
Can AI Grade Cancer Better Than Us? The Truth About T-Cell Imaging, Biomarkers & Digital Pathology DisruptionYou think Saturday mornings are for coffee? Try diving into bone marrow morphology, organ donor kidne...
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Episode 156
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34:35
