We just released one of the most intellectually energizing conversations we’ve had on Practical AI in Healthcare. Our guest this week is Dr. Adam Rodman, physician, informatician, historian of medicine, and one of the most original thinkers at the intersection of AI and clinical reasoning.
Adam brings a rare perspective to the field: before becoming an AI researcher, he spent years studying how humans make medical decisions — how clinicians reason, where cognition breaks down, and how technology reshapes the way we conceptualize disease. His reflections on the evolution from QMR and INTERNIST-1 to today’s large language models are a must-hear.
In this episode, we explore:
• Why LLMs challenge 50 years of clinical decision support assumptions
• New collaboration models for doctors, patients, and AI — not just “human in the loop,” but truly redesigned workflows
• What’s holding back clinical AI adoption (spoiler: it’s not accuracy)
• The regulatory gap—and why the FDA’s old device mindset won’t work for generative models
• How urgent-care AI companies are early signals of a broader shift
Adam also discusses what the next 3–5 years may actually look like — and why change will be slow…until the moment it becomes very fast.
Listen here and join the conversation on the future of practical, safe, and human-centered AI in healthcare.
Apple Podcasts: https://podcasts.apple.com/us/podcast/practical-ai-in-healthcare/id1837172964
Spotify: https://open.spotify.com/show/63NBSNTdKsLHO7jmNxiZHv?si=277e9a14c24f41d9
Amazon Podcasts: https://music.amazon.com/podcasts/8ed0ba60-15f4-419b-85f1-c4b85af81b41/practical-ai-in-healthcare
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