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 ...
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 ...
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.
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.
Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
Kidney failure, also known as end-stage renal disease (ESRD), occurs when kidneys lose their ability to filter waste and excess fluids from the blood effectively. This serious condition affects ...
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