Cropped shot of a doctor using a digital tablet in a hospital Biased algorithms in health care can lead to inaccurate diagnoses. Clinicians should decide which variables to include to achieve fair ...

With an approaching federal deadline, healthcare and legal experts have developed a framework for evaluating the use of AI-powered algorithms. As AI, clinical algorithms and predictive analytics ...

The US Department of Health and Human Services (HHS) intends to add language to a federal rule to make it clear that physicians could be held accountable for decisions made while relying on clinical ...

Anirban Basu received funding support from a consortium of ten biomedical companies to the University of Washington through an unrestricted gift. Health practitioners are increasingly concerned that ...

Based on the comprehensive findings of a review, investigators outline several crucial policy implications, each designed to address the complex issue of bias mitigation in clinical algorithms ...

As the use of artificial intelligence has spread rapidly throughout the US health care system, concerns have been raised about racial and ethnic biases built into the algorithms that often guide ...

In August 2022 the Department of Health and Human Services (HHS) issued a notice of proposed rulemaking prohibiting covered entities, which include health care providers and health plans, from ...

CLEVELAND, Ohio — Despite ample evidence that people of the same race do not share similar genetics, the use of race in diagnostic tools and medical guidelines continues to be used in many areas of ...

Many of the algorithms physicians use to inform their decisions on patient treatment operate with subliminal racial bias, according to a study published June 17 in The New England Journal of Medicine.

New York City announced a recent effort to end race adjustments in clinical algorithms used by the city's hospitals. Experts say these adjustments perpetuate racist assumptions in healthcare and can ...