“We have to educate people about this problem and research what we can do to mitigate it.”
The results have spurred new concerns that AI software can amplify inequality in health care, where studies show Black patients and other marginalized racial groups often receive inferior care compared to wealthy or white people.
Medical data used to train algorithms often bears traces of racial inequalities in disease and medical treatment, due to historical and socioeconomic factors. That could lead an algorithm searching for statistical patterns in scans to use its guess at a patient’s race as a kind of shortcut, suggesting diagnoses that correlate with racially biased patterns from its training data, not just the visible medical anomalies that radiologists look for.
Previous studies have shown that medical algorithms have caused biases in care delivery, and that image algorithms may perform unequally for different demographic groups. In 2019, a widely used algorithm for prioritizing care for the sickest patients was found to.
France Dernières Nouvelles, France Actualités
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