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.
- Update frequency
- every 6 days
- Average duration
- 36 minutes
- Episodes
- 163
- Years Active
- 2019 - 2025
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 Barco, I sit down with Dr. Mo…
161: 7 Secrets to Smarter AI in Cancer Care | Lessons from NCCN Summit
7 Counterintuitive Secrets from NCCN’s 2025 AI in Cancer Care Summit
When the National Comprehensive Cancer Network (NCCN) gathers healthcare leaders, people listen. I attended the 2025 …
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 chal…
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 d…
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 cance…
158: AI in Pathology: From Pixels to Patients with Dr. Anil Parwani
How can pathology labs keep up with rising cancer diagnoses when the workforce is shrinking? Dr. Anil Parwani believes the answer lies in digital pathology powered by AI—and in this ep…
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 Rashi…
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 Disruption
You think Saturday mornings are for coffee? Try diving into bone marrow morp…
155: AI Pathology & Genomics_ A New Benchmark for Predicting Gene Mutations
AI Pathology & Genomics: A New Benchmark for Predicting Gene Mutations
If you still think visual quantification is “good enough” in pathology, think again.
In this 27th episode of DigiPa…
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 …
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…
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 Diagnostics
What if the most advanced AI models we’re building today are doomed to die in the machine learning graveyard? 🤯 That’s the haunting …
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. …
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 Artifi…
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-world …
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 …
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…
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 P…
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 Matters
If we don’t start defining what kind of AI we’re talking about, we risk letting buzzwords replace real science. …
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 …