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
192 episodes
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
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
186: Beyond the Glass Slide – Fusing Pathology and Genomics into 64-Bit Barcodes
Paper Discussed in this Episode: Multimodal learning for scalable representation of high-dimensional medical data. Alsaafin A...
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Episode 186
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19:10
185: The Patient's Voice: AI and Digital Pathology in Cancer Care
Source Material: This episode is based on the original article, "The patient matters: a roundtable discussion on pathology in the era of digitization and AI,"
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Episode 185
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20:30
184: Digital Pathology Guidelines: What Every Lab Must Get Right
What actually needs to be in place before digital pathology can replace the microscope?In this episode of DigiPath Digest, I walk through the 2026 Polish Society of Pathologists guidelines and translate them into p...
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Episode 184
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34:27
183: Guidelines for the adoption of digital pathology in clinical pathology units recommended by the polish society of pathologists - AI Publication Review
This Episode is based on the following paper:Szylberg Ł, Durślewicz J, Chmura Ł, Rezner W, Bartczak A, Marszałek A. Guidelines for the adoption of digital pathology in clinical pathology units recommended by the polish society of patholo...
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Episode 183
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13:45
182: AI, Quality, and Standards: The Next Chapter of Digital Pathology
This session is a practical walkthrough of where digital pathology and AI truly stand in early 2026—based on five recent PubMed papers and real-world implementation experience.In this episode, I review new clinical adoption guidelines, A...
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Episode 182
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25:57
181: Can AI Read Clinical Text, Tissue, and Costs Better Than We Can?
What happens when artificial intelligence moves beyond images and begins interpreting clinical notes, kidney biopsies, multimodal cancer data, and even healthcare costs?In this episode, I open the year by exploring four r...
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Episode 181
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34:59
180: Digital Pathology Recap 2025
What really changed in digital pathology this year—and what still needs work? As we close out 2025 and step into 2026, I wanted to pause, reflect, and share what I’ve seen shift from theory to real-world practice acr...
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Episode 180
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23:15
179: How is the BigPicture Project using Foundation Models and AI in Computational Pathology?
What if the biggest breakthrough in pathology AI isn’t a new algorithm—but finally sharing the data we already have?In this episode, I’m joined by Jeroen van der Laak and Julie Boisclair from the IMI BigPicture consortium, a European pub...
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Episode 179
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1:06:23
178: Live from London: Essential Digital Pathology & AI Insights 2025
What if the biggest transformation in digital pathology this year had nothing to do with new hardware—and everything to do with how we think about value, workflow, and readiness?In this year-end recap livestream from the 11th...
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Episode 178
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40:17
177: From Curiosity to Confidence in Digital Pathology
Have you ever thought, “Digital pathology sounds amazing, but without a scanner, what’s the point of learning it now?” If so, this episode will change how you see your role in the future of pathology.In this talk, I challenge on...
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Episode 177
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19:41
176: Can AI Protect Patients? Forensics, Pathomics & Breast Cancer Insights
What happens when AI becomes powerful enough to diagnose—not just one disease, but entire fields of medicine at once? In this episode of DigiPath Digest #33, I break down four new PubMed abstracts shaping the futur...
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28:44
175: Deploying Digital Pathology Tools - Challenges and Insights with Dr. Andrew Janowczyk
Why does it take three years to deploy a digital pathology tool that only took three weeks to build? That’s the reality no one talks about—but every lab feels every time they deploy a new tool...In this episode, I sit down with ...
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Episode 175
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1:12:43
174: How Do We Fix the Bias in Biomedical AI Podcast with Victor CEO and Founder of Omica.Ai
Why are billions of people still invisible in genomic research—and what does that mean for the future of precision medicine?In this episode, I sit down with Victor Angel Mosti, founder and CEO of Omica.Ai, for one of the ...
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Episode 174
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55:24
173: AI and the Human Touch: Patient Safety, Prognosis & Voice Biomarkers
How far can AI go in helping us diagnose disease—without losing the human judgment patients rely on?In this episode, I break down four studies shaping the future of digital pathology, oncology, and neurology. From spatial...
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Episode 173
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29:40
172: Why Structured Reporting Is the Future of Pathology | mTuitive on Workflow, Data & Compliance with Peter O'Toole
If your pathology reports and other data could talk, what would they say about the future of precision medicine? The truth is, most labs already have the data—they’re just not having a conversation with it.In this episode, I tal...
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Episode 172
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37:45
171: Real-World Digital Readiness: Turning Stains into Reliable Scans
Is your lab truly digitally ready—or just scanning slides?That’s the question I unpack in this live discussion from Day 2 of SITC’s 40th Anniversary Meeting, joined by David Anderson (Biocare Medical) and
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Episode 171
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22:58
170: Inside SITC 2025: How Multiplex IF Is Changing Cancer Care
Can spatial biology and multiplex immunofluorescence truly transform how we understand cancer?I went live from the Society for Immunotherapy of Cancer (SITC) 2025 — the 40th Anniversary Meeting to explore how sp...
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Episode 170
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22:50
169: AI Across Organ Systems: Kidney, Liver, Colon, Bladder, and Beyond
Can one AI system learn from every organ — and teach us something new about all of them?In this edition of DigiPath Digest #31, I explore how artificial intelligence is transforming pathology across multiple organ ...
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Episode 169
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37:50
168: Smarter Slides: How AI Is Reshaping Kidney, Thyroid & GI Pathology
If artificial intelligence can match—or even surpass—our diagnostic accuracy, what happens to the role of the pathologist?That’s the question I explore in this episode of DigiPath Digest #30, where I break down thr...
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Episode 168
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25:55