Digital Pathology Podcast artwork

Natural Sciences · Aleksandra Zuraw, DVM, PhD

Digital Pathology Podcast

by Aleksandra Zuraw, DVM, PhD

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.

Chart trend

Position in the Natural Sciences chart (US), last 90 days.

#46
all-time peak
1
day in the top 50 since Nov 2024

Latest episodes

Showing 20 · updated from the feed

249: Cytopathology AI: Crowded-Cell Gaps and LLM Guardrails

Send us Fan Mail 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

Aug 31
28 min

248: Are Foundation Models Really Better for Digital Pathology? Podcast with Panu Kauppila

Send us Fan Mail 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 m

Aug 20
50 min

247: Screening Efficiency Over Experience: Rethinking Cytology Expertise

Send us Fan Mail Does more experience automatically make a cytotechnologist more accurate—or does where they look first matter more? In DigiPath Digest #50, I review a

Aug 17
26 min

246: Computational Pathology Is Changing Companion Diagnostics

Send us Fan Mail Can a treatment decision depend on whether one pathologist sees 45% biomarker positivity and another sees 55%? Visual immunohistochemistry scoring help

Aug 13
1 h 04 min

245: Why Going Slow Is Killing Digital Pathology Adoption | Syed T. Hoda, M.D.

Send us Fan Mail Is your digital pathology rollout moving so slowly that it’s creating a fragmented workflow instead of transforming the department? In this episode of

Jul 29
42 min

244: Why AI Still Hasn't Revolutionized Drug Discovery (Yet) | Thibault Geoui, PhD

Send us Fan Mail If AI is already being used across the drug development pipeline, why hasn’t its impact matched the investment? AI can help researchers review scientif

Jul 22
1 h 35 min

243: How to Teach AI to Healthcare Professionals | Podcast with Candice Chu

Send us Fan Mail What does AI literacy actually look like for pathologists, researchers, and future clinicians? And how do you teach it in a way that is practical, not a

Jul 2
42 min

242: Foundation Models in Pathology: Strong on Paper, Ready for Labs?

Send us Fan Mail Are pathology foundation models actually ready for labs, or are they still stronger on paper than in practice? In this episode of DigiPath Digest #49,

Jun 24
42 min

241: AI-Powered Companion Diagnostics: The Future of Precision Medicine | Podcast with Doug Bowman, VP Precision Medicine at Indica Labs, Inc.

Send us Fan Mail How far can pathologists take visual biomarker scoring before human vision becomes the bottleneck? In this episode, I talk with Doug Bowman. PhD, VP Pr

Jun 17
41 min

240: Can AI Copilots Keep Up with Pathologists?

Send us Fan Mail Can AI copilots really keep up with pathologists when the cases are new, the workflow is messy, and the benchmark is actually protected from leakage? I

Jun 3
33 min

239: The Four Steps Pathology AI Demos Quietly Skip and Why They Matter

Send us Fan Mail What happens when a pathology AI model misses the tissue before it even begins—and can better segmentation, education, and virtual staining close the ga

May 28
46 min

238: How Do We Know AI Is Ready for Pathology

Send us Fan Mail Do you really need a scanner, whole slide images, and AI infrastructure before you can start in digital pathology? In this episode, I argue that you do

May 19
19 min

237: Why Pathology Vendor's Don't Speak the Same Language?

Send us Fan Mail Why are pathology vendors still speaking different image languages when radiology solved that problem decades ago? In this episode of DigiPath Digest #

May 18
33 min

236: What Happens When a Patient Sees Their Cancer for the First Time | Podcast with Michele Mitchell

Send us Fan Mail What if the most frightening part of a pathology report is not the word cancer, but the silence that follows? In this episode of the Digital Pathology

May 15
1 h 12 min

235: From Cytology to Omics: Where Pathology AI Gets Harder

Send us Fan Mail DigiPath Digest #45 asks a practical question: can AI in pathology move from correlation to real clinical use? In this episode, I review four papers tha

May 12
32 min

234: Quality, Teaching, and AI: A Practical Shift in Pathology

Send us Fan Mail Where is AI in pathology actually becoming useful right now? In this episode of DigiPath Digest, I review 4 new PubMed papers across digital pathology,

Apr 25
35 min

233: AI-Driven Breast Cancer Staging in Resource-Constrained Settings

Send us Fan Mail Paper Discussed in this Episode: Deep-learning-based breast cancer stage prediction from H&E-stained whole-slide images in resource-constrained setting

Apr 24
21 min

232: AI and Digital Pathology in Case-Based Renal Education

Send us Fan Mail Paper Discussed in this Episode: Integrating AI-Powered Digital Pathology With Case-Based Teaching: A Novel Paradigm for Renal Education in Medical Sch

Apr 22
18 min

230: Artificial Intelligence in Clinical Oncology: Multimodal Integration and Translational Development

Send us Fan Mail Paper Discussed in this Episode: Artificial intelligence in clinical oncology: Multimodal integration and translational development. Ruichong Lin, Zhenh

Apr 20
20 min

231: The Future of Bone Marrow Biopsy: Omics and AI Integration

Send us Fan Mail Paper Discussed in this Episode: Advancements in bone marrow biopsy: the role of omics and artificial intelligence in hematologic diagnostics. Maryam Al

Apr 20
20 min

Chart positions

Where Digital Pathology Podcast ranks today in each Apple Podcasts chart (US, Sep 9, 2026).

#147 ▲ 28 Natural Sciences US

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