Knee-capping the NIH
America Dissected
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Racial Bias in Medical Algorithms
This chapter explores the historical inclusion of race in clinical algorithms and its implications on medical diagnostics. The speakers examine how entrenched biases and unsubstantiated scientific assumptions have led to inconsistent healthcare outcomes and the misdiagnosis of patients, particularly children. Emphasizing the need for inclusive data practices, they challenge the reliance on race in clinical decision-making and advocate for a nuanced approach that considers social determinants of health.
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