Episode

AI in Healthcare: The Recommendation Loop

Podcast
Generative AI 101
Published
Aug 26, 2026
Duration seconds
750
Processing state
not_requested
Canonical source
https://generativeai101.podbean.com/e/ai-in-healthcare-the-recommendation-loop/
Audio
https://mcdn.podbean.com/mf/web/2kmunyzy2vjzwzwu/03HealthcareRecommendation.mp3
JSON
/v1/public/podcasts/generative-ai-101-6932184/episodes/ai-in-healthcare-the-recommendation-loop
Markdown
/podcast/generative-ai-101-6932184/ai-in-healthcare-the-recommendation-loop.md

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Summary

Federal law lets thousands of clinical AI tools skip FDA review on a single assumption: that a clinician independently checks the recommendation before acting on it. Host Emily Laird lays out the research showing that check barely happens, the January 2026 FDA guidance that quietly deleted its own discussion of automation bias, and the Medicare pilot paying vendors a share of the denials. The machines got smart, so that argument is finished. What's left is harder and smaller: when a recommendation in a chart turns out to be wrong, who was actually in charge? 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup 📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ 💬 CONNECT WITH EMILY LAIRD ON LINKEDIN