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Classroom Contents
AI in Radiology: Pattern Detection, Fairness, and Clinical Applications - Lecture Series
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- 1 Intro
- 2 AI in clinical care
- 3 Fairness
- 4 Definitions
- 5 Roadmap
- 6 Blueprints
- 7 Are existing classifiers group fair
- 8 Are Texas radiologists group fair
- 9 Binary production
- 10 Calibration
- 11 Histogram
- 12 Efficiency
- 13 Risk Score
- 14 Equivalence
- 15 Summary
- 16 Minimax critical awareness
- 17 Label bias
- 18 Shortcut learning
- 19 Shortcut learning in real world
- 20 Can race be a shortcut
- 21 The tradeoff
- 22 Practical suggestions
- 23 Welcome back
- 24 Why Imaging
- 25 Race
- 26 Data
- 27 Results
