Abstract
In the article by Judy Wawira Gichoya and colleagues,1 the authors found that artificial intelligence (AI) systems can be trained to determine a person's self-reported race based on a medical image, such as a chest or spinal x-ray image. The issue, which has been highlighted by others,2 is that if a model can easily determine a patient's race, it can use this information to predict other clinical outcomes. This is a scary prospect given the persistent bias against racial and ethnic minority groups in health care, leading to unequal access to care and unequal health, which are all also encoded in medical datasets.
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