Digital Pathology Podcast
Aleksandra Zuraw, DVM, PhDAleksandra 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.
| Publishes | Daily | Episodes | 249 | Founded | 7 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | Natural SciencesHealth & FitnessMedicineScience | |||
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What happens when AI models that perform almost perfectly on scattered cervical cells become less reliable than a coin flip on crowded cell groups?
In DigiPath Digest #51, I examine what this performance gap tells us about artifici... more
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What good is a powerful foundation model if it slows the pathologist down, can’t explain its result, or doesn’t fit the clinical workflow?
Foundation models are gaining attention across digital pathology. But they’re not finished c... more
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Does more experience automatically make a cytotechnologist more accurate—or does where they look first matter more?
In DigiPath Digest #50, I review a digital cytology eye-tracking study that challenges the assumption that diagnost... more
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Can a treatment decision depend on whether one pathologist sees 45% biomarker positivity and another sees 55%?
Visual immunohistochemistry scoring helped establish precision oncology. But as targeted therapies become more sensitive... more
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Reviews
- Director of marketing in digital path
Dr. Zuraw is not just insanely intelligent but also down to earth. Definitely an amazing role model for all young scientists.
Apple Podcasts5Jenna Karp
United States4 months ago - Interesting guests and insights
Great podcast to learn about digital pathology and AI
Apple Podcasts5CharlieCrane123
Poland2 years ago - Great podcast for digital pathology
Dr. Zuraw does a great job of explaining the basics and also the advanced state of the art. Enjoy learning a lot from these podcasts.
Apple Podcasts5Ballsack1234556677888999900000United States5 years ago
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Apple Podcasts | #229 |  United Kingdom/Science/Natural Sciences |
Apple Podcasts | #79 |  Germany/Science/Natural Sciences |
Apple Podcasts | #188 |  France/Science/Natural Sciences |
Apple Podcasts | #7 |  Sweden/Science/Natural Sciences |
Apple Podcasts | #18 |  India/Science/Natural Sciences |
Apple Podcasts | #47 |  Russia/Science/Natural Sciences |
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Frequently Asked Questions About Digital Pathology Podcast
What is Digital Pathology Podcast about and what kind of topics does it cover?
A host-driven series exploring digital pathology, focusing on how AI, image analysis, and multi-modal data are transforming pathology practice and research. Recent episodes spotlight foundation models, AI-enabled companion diagnostics, workflow integration, regulatory hurdles, and practical pathways to adoption in labs. Listeners gain insight into how vendors, clinicians, and researchers collaborate to push pathology from traditional slide review toward explainable, interoperable AI tools, with real-world considerations like data quality, validation, and training needs. The format often pairs technical deep dives with actionable takeaways for implementing AI in pathology workflows, making it valuable for both practitioners and decision-make... more
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How many listeners does Digital Pathology Podcast get?
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Which podcasts are similar to Digital Pathology Podcast?
These podcasts share a similar audience with Digital Pathology Podcast:
1. Google DeepMind: The Podcast
2. Nature Podcast
3. Founders
4. The Naked Scientists Podcast
5. The Future of Everything
How many episodes of Digital Pathology Podcast are there?
Digital Pathology Podcast launched 7 years ago and published 249 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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What guests have appeared on Digital Pathology Podcast?
Recent guests on Digital Pathology Podcast include:
1. Doug Bowman
2. Michele Mitchell
3. Annabella Di Mauro
4. Ji Shen
5. Ji Liangyang
6. Fu Quanzhang
7. Jake Eden
8. Robert Moody
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