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 ...
In hospitalized patients, acute kidney injury (AKI) is an important adverse event associated with high mortality and medical costs. Accurate diagnosis and timely management of AKI are essential for ...
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.
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 ...
Clinical algorithms are tools that aid decision-making in a variety of medical conditions and procedures. Examples include diagnostic calculators that assess the current presence of a disease or ...
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.
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