Please provide your email address to receive an email when new articles are posted on . Inappropriately factoring race into clinical decisions risks worse care for patients from underrepresented ...

Algorithms are ubiquitous in medicine. They can take the form of a flowchart, a simple equation, or a complicated AI model, and are used to help clinicians diagnose diseases, predict the chances of ...

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 ...

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 ...

Please provide your email address to receive an email when new articles are posted on . CMSS’ new initiative will look to improve patient care by ensuring equity is encoded in algorithms. The ...

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 ...

While it's true that “racism” has left its fingerprints over medicine, STAT recently began a new investigative series looking at racial bias baked into the clinical algorithms used by physicians. As ...

Categorizing patients with cancer by their disease stage can be an important tool when conducting administrative claims-based studies. As claims databases frequently do not capture this information, ...