Turning Medical Imaging AI Breakthroughs into Bedside Impact via Physician-in-the-Loop AI

Turning Medical Imaging AI Breakthroughs into Bedside Impact via Physician-in-the-Loop AI

Molecular Imaging & Therapy via YouTube Direct link

0:00 Introduction

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1 of 13

0:00 Introduction

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Turning Medical Imaging AI Breakthroughs into Bedside Impact via Physician-in-the-Loop AI

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

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