Dr David Johnson selects his 10 highest-impact publications from 2025, which define new management standards across a broad spectrum of diseases.

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 ...

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.

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 ...

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 ...

Clinician-scientists in the Smidt Heart Institute at Cedars-Sinai developed a clinical algorithm that, for the first time, distinguishes between treatable sudden cardiac arrest and untreatable forms ...

Women with risk-based screening had about 30 cases of advanced cancer per 100,000 person-years, compared with 48 cases per ...

Adult-onset Still's disease (AOSD) is a rare inflammatory disorder. Thanks to a new initiative, AOSD is now considered to be ...

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 ...