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 ...

Every day, physicians use clinical algorithms to make decisions about the patients in their exam rooms. To help weigh a patient’s surgical risk or likelihood of disease, they factor in attributes such ...

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 ...

Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...

Clinical algorithms may improve if race variables are replaced with causal factors associated with race, such as healthcare access, education and economic position, according to a study published Jan.

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The use of race in medicine is based on studies that are often outdated and inaccurate, exacerbating racial disparities rather than addressing their root causes, according to Darshali Vyas, a fellow ...

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 ...

The pharmaceutical and medical device industries stand at an inflection point. After decades of reliance on traditional ...

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 ...