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Can synthetic data boost fairness in medical imaging AI?

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. ....

Nature Medicine , Medical Imaging , Machine Learning ,

AI in healthcare: A double-edged sword? Study reveals impact on diagnostic accuracy

Study investigates the impact of AI on clinicians' diagnostic accuracy, revealing that AI explanations don't significantly mitigate the harmful effects of biased AI models, emphasizing the need for careful validation of AI tools in clinical settings. ....

Yuria Shutterstock , Hospitalized Patients , Randomized Clinical Vignette Survey , Image Credit , Artificial Intelligence , Diabetic Retinopathy , Skin Cancer ,