Machine-learning algorithm for predicting stone recurrence shows promise

In this video, Kevin Shee, MD, PhD, discusses the background and notable findings of the study, “A Novel Machine-Learning Algorithm to Predict Stone Recurrence with 24-hour Urine Data,” which was presented at the Western Section of the American Urological Association Annual Meeting in Koloa, Hawaii. Shee is a urology resident at the University of California, San Francisco.