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
166 episodes
167: Future of Pathology AI, Training & The Next Generation of Diagnostics
Live from Pathology Visions 2025 in San Diego, I share highlights from Day 2 of the world’s leading digital pathology conference, where experts explored how AI, empathy, and training are shaping the next generation of pa...
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Episode 167
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28:51
165: How AI Is Changing Cancer Diagnosis Insights from PathVision 2025
Live from Pathology Visions 2025 in beautiful San Diego, I sat down with Imogen Fitt from Signify Research to explore how AI, digital pathology, and interoperability are transforming the way we diagnose cancer and de...
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Episode 165
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22:15
164: What Happens to Human Expertise When AI Takes Over in Medicine
Will AI make doctors and specialists less skilled—or even replace them?That’s the question I explore in this episode of DigiPath Digest #29. As someone working where AI meets digital pathology, I’m both exci...
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Episode 164
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53:52
163: Digital Diagnostics Summit 2025 Innovation in Action - Conference Update
What if climbing the digital pathology “mountain” isn’t about reaching the summit alone—but knowing where base camp is, and who you bring with you?In this episode, I take you inside the Digital Diagnostic Summit in Park City, host...
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Episode 163
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30:11
162: How Color Impacts Every Diagnosis |Color Calibration in Digital Pathology w/ Tom Kimpe (Barco) and Monika Lamba Saini
What if up to 35% of the diagnostic color data on your pathology slides never reaches your eyes—just because of your monitor? In this episode, sponsored by
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Episode 162
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1:25:43
161: 7 Secrets to Smarter AI in Cancer Care | Lessons from NCCN Summit
7 Counterintuitive Secrets from NCCN’s 2025 AI in Cancer Care SummitWhen the National Comprehensive Cancer Network (NCCN) gathers healthcare leaders, people listen. I attended the 2025 Policy Summit on the evolving AI lan...
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Episode 161
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35:30
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
155: AI Pathology & Genomics_ A New Benchmark for Predicting Gene Mutations
AI Pathology & Genomics: A New Benchmark for Predicting Gene MutationsIf you still think visual quantification is “good enough” in pathology, think again. In this 27th episode of DigiPath Digest, I break down four t...
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Episode 155
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23:26
154: AI in Pathology: Advances in Prostate, Bladder & Endocrine Cancer
If our visual scoring is still based on gut feeling, how do we scale precision? In this week’s DigiPath Digest, I explored four new AI-focused papers that could reshape how we diagnose prostate, bladder, gastroesophageal, and endocri...
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Episode 154
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20:43
153: Can GPT-4o Classify Tumors Better Than Us? AI-Powered Pathology Insights
If we don’t learn to work with LLMs now, we might end up competing with them. 🧠 In this week’s DigiPath Digest, I return to our Journal Club to unpack the latest research on AI in tumor classification, focusing on GP...
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Episode 153
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19:43
152: AI in Pathology, ML-Ops, and the Future of Diagnostics – 7-Part Livestream 7/7
AI in Pathology: ML-Ops and the Future of DiagnosticsWhat if the most advanced AI models we’re building today are doomed to die in the machine learning graveyard? 🤯 That’s the haunting question I tackled in the final episod...
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Episode 152
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42:46
151: Ethics and Bias Considerations in AI – 7-Part Livestream 6/7
Can We Ever Eliminate Bias in AI for Pathology?Every time we think we’ve trained a “neutral” algorithm, we discover our own fingerprints all over it. Our biases. Unconscious. Systemic. Data-driven. And if we ignore them, AI won’t ...
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Episode 151
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42:00
150: AI in Pathology – Regulatory Aspects of AI – 7-Part Livestream 5/7
The Most Overlooked Risk in AI for Pathology? It’s Not What You Think…Welcome, my trailblazing digital pathologists! In this episode, I dive headfirst into the regulatory maze of Artificial Intelligence (AI) in pathology, covering...
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Episode 150
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42:29
149: AI in Pathology: From Pixels to Patients with Dr. Anil Parwani
In this episode sponsored by Epredia, Dr. Anil Parwani explores the transformative journey of digital pathology from basic slide scanning to AI-driven diagnostics. He shares real-...
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Episode 149
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39:40
148: Statistics of Generative and Non-Generative AI – 7-Part Livestream 4/7
You might be using AI models in pathology without even knowing if they’re giving you reliable results. Let that sink in for a second—because today, we’re fixing that.In this episode, I walk you through the...
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Episode 148
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36:24
147: Non-Generative AI – Predictive Analytics & ML – 7-Part Livestream 3/7
What if I told you the biggest AI breakthroughs in pathology aren’t coming from ChatGPT or generative tools—but from the quiet power of predictive analytics and machine learning?In this episode, I explore the non-generative side...
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Episode 147
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44:20
146: Generative AI – Deeper Dive – 7-Part Livestream 2/7
❗️Is synthetic data trustworthy enough to train AI for patient care? It just might be—and that's what both excites and terrifies me. ❗️Hey trailblazers! In this episode of the Digital Pathology Podcast, I take you through the se...
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Episode 146
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53:22
145: The Role of Generative vs Non-Generative AI in Medical Diagnostics – 7-Part Livestream 1/7
Generative vs. Non-Generative AI in Pathology: Why the Difference MattersIf we don’t start defining what kind of AI we’re talking about, we risk letting buzzwords replace real science. 🧠 This is where we begin—at the fo...
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Episode 145
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1:15:59
144: Court Halts FDA Rule on Lab-Developed Tests: What It Means for Pathology
Will FDA rules disrupt the way we diagnose diseases? In this episode, I break down a seismic shift in lab medicine: a federal court has vacated the FDA’s controversial rule classifying lab-developed tests (LDTs) as medical de...
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Episode 144
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9:48
143: Modular Scanners, Cytology, and AI Integration in Digital Pathology
You think going digital in pathology just means buying a scanner? Think again. In this episode sponsored by Epredia, I sat down with Ryan Davis, Director of Global Business Strategy at Epredia, to talk about what it ...
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Episode 143
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43:36
142. First All-in-One Digital Pathology Tool: Techcyte's Fusion Platform to Improve Pathologists' Workflow and Integrate AI.
In this episode, I talk with Tiffany Chen, MD, and Ben Cahoon from Techcyte about Fusion, their new digital pathology platform. Fusion integrates clinical and anatomic pathology workflows, AI algorithms, and electronic health records—all into o...
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Episode 142
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35:14