AI in Dermatology - The Pitfalls and Promises

AI in Dermatology - The Pitfalls and Promises

Stanford MedAI via YouTube Direct link

FDA

15 of 19

15 of 19

FDA

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AI in Dermatology - The Pitfalls and Promises

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  1. 1 Introduction
  2. 2 Why I became interested in MedAI
  3. 3 Problems with MedAI
  4. 4 Bias Data
  5. 5 Datasets
  6. 6 Labelling
  7. 7 Skin cancer classification
  8. 8 Skin tone classification
  9. 9 Diverse Dermatology Images
  10. 10 Data Accuracy
  11. 11 Consensus Labeling
  12. 12 Finetuning
  13. 13 Data biases
  14. 14 Dataset
  15. 15 FDA
  16. 16 Prospect vs retrospective data
  17. 17 Bias in dermatology education
  18. 18 AI in dermatology
  19. 19 Questions

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