AI recognition of patient race in medical imaging: a modelling study

Updated

This study showed that medical AI systems can easily learn to recognise self-reported racial identity from medical images, and that this capability is extremely difficult to isolate. Authors found that patient racial identity was readily learnable from medical imaging data alone, and could be generalised to external environments and across multiple imaging modalities. Authors strongly recommend that all developers, regulators, and users who are involved in medical image analysis consider the use of deep learning models with extreme caution as such information could be misused to perpetuate or even worsen the well documented racial disparities that exist in medical practice. 

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