How Academic Pathology Programs Can Prepare for AI

In this episode, I sit down with three leaders shaping the future of pathology and AI in medicine at the University of Pittsburgh: Dr. Liron Pantanowitz, Chair of the Department of Pathology Dr. Hooman H. Rashidi, Associate Dean of AI in Medicine Dr. Matthew Hanna, Vice Chair of Pathology Informatics We talk about how a major academic institution integrates AI into pathology workflows, builds data infrastructure, fosters innovation, and brings new technologies to life. It’s a masterclass in leadership, collaboration, and impact. ✨ Key Highlights - What it takes to build AI infrastructure and strategy in academic pathology - The intersection of research, clinical service, and education in AI - How diverse leadership roles align to drive innovation - Collaborations with computer science, engineering, and bioinformatics - Regulatory and practical challenges in deploying pathology AI - Why team-based efforts are critical for scaling digital transformation - Institutional culture and mindset around embracing AI ⏳Timestamps: 00:00 - Highlight 1:12 - Introduction 2:26 - Who is Dr. Liron Pantanowitz? 5:50 - Who is Dr. Hooman H. Rashidi, and why was the 7‑part publication series created? 13:06 - Livestream 16:09 - Who is Dr. Matthew Hanna? How was AI used to create the series? 19:31 - How did you do it so fast without using AI? 22:25 - How do you feel about becoming a regulatory expert in this space? 26:24 - What was your experience writing about ethics and bias in AI? 29:25 - What's next for you? 36:15 - Final Thoughts 📙 Resources Mentioned: 📺 WATCH NEXT: https://www.youtube.com/playlist?list=PLPYjKofDEhNNCOhrxDQR6KOFod364Ktia 📄SHOW NOTES & TRANSCRIPT Visit the website for the transcript and show notes - https://digitalpathologyplace.com/podcast/ 🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, please like and comment down below what you found most interesting. Don’t forget to subscribe for more insightful episodes! 📙FREE RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS: https://digitalpathology.club/digital-pathology-beginners-guide-notification This is hands down the BEST place to start when it comes to digital pathology, which will bring you up to speed or structure your current knowledge and launch your expertise. Don't miss it! NEXT-TIER RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS: 📘Digital Pathology 101 E-book! - https://digitalpathology.club/digital-pathology-beginners-guide-notification 💻 Pathology 101 for non-pathologists (within the Digital Pathology Club) - https://digitalpathology.club/dp-club-membership-sp 📩 Free Weekly Pathology Insights - Digital Pathology Newsletter - https://digitalpathologyplace.com/contact/ 🔬 Starting in tissue image analysis? - https://digitalpathology.club/dp-club-membership-sp MY FAVORITE TOOLS & GEAR: 📱 My microscopic photography phone case - http://skopedmicro.com/1625068689/digitalpathologyplace 📷 My microscope camera (It's amazing!!!) - https://imillermicroscopes.com/pages/path4k 📹 My DJI Osmo Pocket 3 - https://amzn.to/3R1b1Bz 📕 'Histology: A Text and Atlas' book by Wojciech Pawlina: https://amzn.to/3UYdKge 📙 Digital Pathology 101 - https://amzn.to/3yKjVgk 🔗 CONNECT WITH ALEKS: 🌎 Website - https://digitalpathologyplace.com/ 📸 Instagram: https://www.instagram.com/digital_pathology_place/ 🎥 FB - https://www.facebook.com/digitalpathologyplace 👨‍💻 LinkedIn - https://www.linkedin.com/in/aleksandra-zuraw-dvm-phd-dacvp/ 📱 TikTok - https://www.tiktok.com/@digitalpathology 🐦 Twitter - https://twitter.com/olkazuraw?lang=en #️⃣ Related Tags: AI in pathology, pathology informatics, academic pathology, digital pathology, University of Pittsburgh, UPMC pathology, pathology AI leadership, Dr. Liron Pantanowitz, Dr. Hooman Rashidi, Dr. Matthew Hanna, machine learning pathology, AI medical education, healthcare innovation, academic medicine, AI infrastructure, bioinformatics, computational pathology, artificial intelligence in academic pathology