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 ...

A large share of donated kidneys are unused due to inefficiencies in the allocation and acceptance process rather than medical unsuitability. Researchers developed a data-driven adaptive algorithm ...

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.