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Digital Pathology Podcast

Aleksandra Zuraw, DVM, PhD
Digital Pathology
Artificial Intelligence
Pathology
Machine Learning
AI In Pathology
Clinical Trials
Prostate Cancer
Image Analysis
Generative AI
Breast Cancer
Deep Learning
Patient Care
AI In Healthcare
Telepathology
Histopathology
Artificial Intelligence In Pathology
Muse Microscopy
Veterinary Pathology
Computational Pathology
Colorectal Cancer

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.

PublishesDailyEpisodes239Founded7 years ago
Number of ListenersCategories
MedicineScienceHealth & FitnessNatural Sciences

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Artwork for Digital Pathology Podcast

Latest Episodes

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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?

In this episode of DigiPath Digest #48, I focus on one paper: DALPHIN: Benchmarki... more

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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 not.

I’m Dr. Aleksandra Zuraw, veterinary pathologist and digital pathology ed... more

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Why are pathology vendors still speaking different image languages when radiology solved that problem decades ago?

In this episode of DigiPath Digest #46, I talk through four papers that all point to a bigger issue in digital patho... more

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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 Podcast, Dr. Aleksandra Zuraw talks with Michele Mitchell—breast cancer survivor... more

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Recent Guests

Michele Mitchell
Cancer survivor and patient advocate
Independent patient advocacy/public health initiatives
Episode: 236: What Happens When a Patient Sees Their Cancer for the First Time | Podcast with Michele Mitchell
Ji Shen
Author on the study
IET Systems Biology
Episode: 216: Multimodal Deep Learning for Predicting Cervical Cancer Survival Outcomes
Ji Liangyang
Author on the study
IET Systems Biology
Episode: 216: Multimodal Deep Learning for Predicting Cervical Cancer Survival Outcomes
Fu Quanzhang
Author on the study
IET Systems Biology
Episode: 216: Multimodal Deep Learning for Predicting Cervical Cancer Survival Outcomes
Jake Eden
Global Product Manager for Digital Pathology
Agilent Technologies
Episode: 211: USCAP2026-What Real Life Lab Partnership Looks Like in Digital Pathology with Hamamatsu & Agilent Technologies
Robert Moody
Strategic Accounts Manager, partnerships within Hamamatsu and Fruitive Pathology
Hamamatsu
Episode: 210: Why Partnerships Matter in Digital Pathology with Hamamatsu
Fumiya Fuji
Business Development Manager, Hamamatsu Corporation, US
Hamamatsu
Episode: 210: Why Partnerships Matter in Digital Pathology with Hamamatsu
Dr. Aleksandra Zuraw
Host of the Digital Pathology Podcast, author of Digital Pathology 101
Digital Pathology Place
Episode: 209: USCAP 2026: Digital Pathology 101 With Hamamatsu
Y. Chang
Author of the study and international research team lead
Unknown (as described in episode)
Episode: 201: Confidence-Based AI Pathology for Cholangiocarcinoma Diagnosis

Host

Dr. Aleksandra Zuraw
Host of Digital Pathology Podcast specializing in digital pathology, image analysis, and AI in pathology.

Reviews

4.6 out of 5 stars from 21 ratings
  • 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 Podcasts
    5
    Jenna Karp
    United States22 days ago
  • Interesting guests and insights

    Great podcast to learn about digital pathology and AI

    Apple Podcasts
    5
    CharlieCrane123
    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 Podcasts
    5
    Ballsack1234556677888999900000
    United States4 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Clear, approachable discussions that make complex topics feel actionable.
Great guests with practical insights on AI adoption in pathology.
Quality explanations of both basics and advanced state-of-the-art concepts.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Talking Points

Recent interactions between the hosts and their guests.

238: How Do We Know AI Is Ready for Pathology
Q: I don't have access to an AI tool, what's the point of doing this?
The host reframes it as a mindset shift: start with what you have, build consistent data or images, and gradually learn the underlying concepts and workflows, because progress and curiosity will attract learning resources, collaborators, and opportunities regardless of initial infrastructure.
192: AI Detects Hidden Lymph Node Metastases
Q: What was the standout finding regarding specimen eight and why does it matter?
Specimen eight contained a micro-metastasis that appeared benign to the human eye, but the AI flagged the region, enabling the pathologist to verify the metastasis at higher magnification; this demonstrates how AI can prevent missing critical disease while highlighting the need for AI-assisted review.
223: You Don’t Need a Scanner to Start Digital Pathology | ACVP Podcast
Q: What advice would you give trainees who want more experience with digital pathology?
She advocates using digital slide resources like JPC and Noah Slidebox, highlighting that the learning curve is manageable and that digital workflows are now common across training and practice.
223: You Don’t Need a Scanner to Start Digital Pathology | ACVP Podcast
Q: What does your everyday look like now in your current role?
She outlines working as a toxicologic pathologist at Charles River Laboratories, contributing to digital pathology initiatives while performing regulated, validated work and enjoying remote flexibility.
223: You Don’t Need a Scanner to Start Digital Pathology | ACVP Podcast
Q: How did you go from pathology to pathology in the digital realm?
She describes initial intimidation with digital pathology, the pivotal moment of using a digital camera to capture slides, and how digitizing images opened up new ways to quantify and evaluate tissue.

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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?

This show centers on digital pathology, exploring how AI, image analysis, and whole-slide imaging are reshaping diagnostics, education, and clinical workflow. Episodes cover practical adoption barriers, hands-on learning paths for beginners, regulatory and governance considerations, and real-world case studies from diverse settings, including resource-constrained environments and patient-facing perspectives. The host blends personal experience with guest insights to demystify technology, highlight open-source tools and scalable approaches, and discuss the evolving relationship between pathologists, technologists, and healthcare systems. Noteworthy is the emphasis on accessible education, responsible AI deployment, and concrete strategies to... more

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Which podcasts are similar to Digital Pathology Podcast?

These podcasts share a similar audience with Digital Pathology Podcast:

1. The Readout Loud
2. The Daily
3. Hard Fork
4. The Long Run with Luke Timmerman
5. Short Wave

How many episodes of Digital Pathology Podcast are there?

Digital Pathology Podcast launched 7 years ago and published 239 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. Michele Mitchell
2. Ji Shen
3. Ji Liangyang
4. Fu Quanzhang
5. Jake Eden
6. Robert Moody
7. Fumiya Fuji
8. Dr. Aleksandra Zuraw

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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