Deep learning in medical imaging often takes shortcuts, finding spurious patterns instead of meaningful insights (e.g., predicting diet from knee X-rays 🤯). To mitigate this: diversify datasets, mask confounders, use adversarial training, and validate across distributions. #AIethics
add a skeleton here at some point
9 months ago