Zachary Lipton is an associate professor at Carnegie Mellon University and a co-founder of Abridge, a healthcare AI company (and a jazz saxophonist!). His research spans machine learning, healthcare, and the broader impact of AI.
In this episode, we discuss what AI can (and cannot yet) do in healthcare. We talk about why medicine is harder to automate than coding, AI scribes and clinical decision support, drug discovery, whether AI could eventually replace doctors, and the role of open models and intelligent routing.
In the second half, we turn to the future of AI research: whether academia can still compete, what AI PhD students should work on, and how Zach thinks about automation and the future of research.
Timeline
00:00 — Introduction
00:28 — Why healthcare is hard for AI
05:00 — Zach’s path into healthcare AI
22:13 — Where AI can have the biggest impact
32:01 — Can AI replace doctors?
41:41 — Open models and AI infrastructure
56:20 — The future of AI research
1:03:03 — What should AI PhD students work on?
1:27:00 — Advice for researchers and founders
Topics
AI in healthcare • AI doctors • drug discovery • clinical decision support • open-source AI • AI research • academia vs. industry • future of work
Music
"Kid Kodi" - Blue Dot Sessions - via Free Music Archive - CC BY-NC 4.0
