
Ted Shortliffe built MYCIN at Stanford in the 1970s, one of the first medical AI systems ever deployed in a clinical setting. Five decades later, he joins Steve and Leon to examine what has persisted in clinical decision support — above all, the demand for explainability — what has changed (computational power finally caught up to the ideas), and what the field may have lost along the way. The conversation includes a direct response to Bob Wachter's claim from S1E24 that AI in healthcare decision support was "too hard a problem to start with," and a case for why structured knowledge representation deserves a second look in the age of LLMs. For anyone tracing the arc of medical AI history, this episode is a rare primary source.
Podzilla Summary coming soon
Sign up to get notified when the full AI-powered summary is ready.
Free forever for up to 3 podcasts. No credit card required.

S1, E37 - Danny van Leeuwen, MPH, RN, Health Hats: Patient's POV on AI Tools

S1, E36 - David Hidalgo-Gato, Founder & CEO, Cleo Health: Going a Mile Deep on Emergency Medicine — Specialization, Design Partnerships, and the Acute Care OS

S1, E35 - Barry P. Chaiken, MD, MPH: Physician-as-Patient Perspective on AI in Healthcare

S1, E34 - Matt Truppo, PhD, Part 2: AI-Driven Drug Development at Sanofi: Clinical Trials, Regulatory, and Personal AI
Free AI-powered recaps of Practical AI in Healthcare and your other favorite podcasts, delivered to your inbox.
Free forever for up to 3 podcasts. No credit card required.