Sam Miller Science S 933: The AI Medical Diagnosis Problem: Why Accuracy Falls Apart in Real Conversations
AI can score highly on medical exams, identify conditions in written cases, and still perform poorly when real people use it for their health. In this episode, I break down new research that tested what happens when members of the public use AI tools to interpret medical scenarios and decide where to seek care. The results point to a problem that has less to do with the model's knowledge and more to do with the human interaction around it.
Topics discussed:
- The Hemorrhage Case Study
- The Nature Medicine Study Design
- 95% to 35% Accuracy Drop
- The Control Group Outperformed AI
- Where the AI-Human Handoff Fails
- Reading Confidence as Competence
- The 1 in 6 Adults Using Health Chatbots
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