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Breast cancer risk prediction is less accurate for Black patients. Deep learning is changing that.


Editor's note: A version of this post previously ran on The Reading Room.

Health equity is a central strategic goal for many safety-net institutions, and population health investments to address systemic inequities are often focused on the social determinants of health—but those aren't the only factors that lead to unequal outcomes. Clinical processes themselves can contribute to inequities in care, as clinical research often fails to include people of color. Population health leaders can harness artificial intelligence and deep learning to begin to combat these inequalities.


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