Medical algorithms will continue to preserve the racial bias that has been historically baked into the U.S. healthcare system unless the medical field stops operationalizing race in its machine learning models, according to panelists at a recent panel hosted by the Philadelphia Alliance for Capital and Technologies. They argued algorithms should use social determinants of health as a predictor of health outcomes instead of race.

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