A recent study in Nature Medicine demonstrates how diffusion models can enhance the robustness and fairness of medical machine learning models in interpreting medical images like histopathology, chest X-rays, and dermatological images by augmenting training datasets with synthetic data, improving accuracy and fairness across diverse patient groups.
Can synthetic data boost fairness in medical imaging AI?
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