A STAT Investigation looks at how race became a predictor in medical diagnoses, and the difficulty in separating implicit bias and science in revising clinical algorithms.

A coalition of 12 Philadelphia-area health systems have abandoned the use of race adjustments in four clinical tools ...

Many physicians are now using algorithms that consider a patient's sex, like heart disease risk assessment tools, to help with clinical decision-making. Reliance on these algorithms may result in ...

In fact, none of the three clinical algorithms they point to involving measuring kidney function, lung function, or which children may have a urinary tract infection (UTI) are race-based. All of them ...

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

Researchers from the National Institutes of Health (NIH) have developed an artificial intelligence (AI) algorithm to help speed up the process of matching potential volunteers to relevant clinical ...

Taking race into account when developing tools to predict a patient's risk of colorectal cancer leads to more accurate predictions when compared with race-blind algorithms, researchers find.

Vyas discussed how racial studies justify the inequitable treatment of minority groups in medicine at a Park Street Corporation Speaker Series lecture.

Greater Philly health systems remove race from clinical algorithms that guide decisions in kidney, lung and pregnancy care The regional coalition of health systems is reevaluating the role of race in ...

Over the last four years, health systems across the United States have phased out the use of several clinical tools that use race to predict patient outcomes, replacing them with race-free ...