This is Part 6 of Embedded Bias, a series revealing how race-based clinical algorithms pervade medicine and why it's so difficult to change them. NEW YORK — One Brooklyn Health, a safety net hospital ...

For patients with the triad of chronic kidney disease, type 2 diabetes, and hypertension, the use of an electronic health record-based algorithm and intervention does not result in reduced ...

Roche Holdings AG received CE-mark for the Kidney Klinrisk algorithm, an AI-based tool developed in collaboration with Klinrisk Inc. to stratify risk and assess the progressive decline in kidney ...

Thirteen health systems in Greater Philadelphia are working as a coalition to reevaluate what role race has played in tools and guidelines that doctors and nurses use to diagnose and treat patients.

Katie covers the impact of health technology on patients, clinicians, and businesses. Her stories explore the price tag of clinical AI, digital health at the FDA, and the boom in direct-to-consumer ...

For years, it was harder for Black patients to secure a coveted spot on the national kidney transplant waitlist because a clinical algorithm was making Black patients appear healthier than they were.

"ADA26: Kidney disease analysis given spotlight" was originally created and published by Clinical Trials Arena, a GlobalData ...

A machine-learning algorithm can use demographic, symptomatic, and clinical data to accurately predict the health-related quality of life (QoL) of patients with kidney stones, new research shows.

Source: Getty Images A clinician pondered the downstream consequences of trusting a statistical AI model over longitudinal clinical experience and judgment. Artificial intelligence (AI) is rapidly ...