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 ...

This is Part 1 of Embedded Bias, a series revealing how race-based clinical algorithms pervade medicine and why it's so difficult to change them. Pediatrician Alexandra Epee-Bounya had had enough. In ...

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.

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 ...

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 ...

Clinical trials underrepresent women, children, and adults aged 65 years or older, so diabetes guidelines must be adapted to ...

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 ...