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.

This is Part 3 of Embedded Bias, a series revealing how race-based clinical algorithms pervade medicine and why it's so difficult to change them. There it was on James Cannon’s lab report, two tiny ...

Researchers have developed and validated an artificial intelligence–based algorithm to predict hospitalized patients’ risk of major adverse kidney events after discharge. Results from the study will ...