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8:04 The tendency to misunderstand or oversimplify what physicians actually do
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Classroom Contents
Turning Medical Imaging AI Breakthroughs into Bedside Impact via Physician-in-the-Loop AI
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- 1 0:00 Introduction
- 2 1:00 Medical Imaging AI Needs Major Rethinking/Redoing
- 3 4:33 Need for non-imaging data
- 4 8:04 The tendency to misunderstand or oversimplify what physicians actually do
- 5 9:53 What is Physician-in-the-loop AI?
- 6 13:53 Active Learning and Continual Learning
- 7 16:38 To do for every AI project: Design a clinical trial to test added value of your AI solution
- 8 18:53 Foundation Models: Do they live up to expectation?
- 9 21:52 Large datasets: data sharing and generation
- 10 23:49 Platforms for Physician-in-the-loop AI
- 11 25:32 AI as Extension of the Human-Being: Physician-in-the-loop AI or AI-in-the-loop Physician?
- 12 29:30 Role of Implementation Science
- 13 34:01 Summary of Key Points
