Urology Times: Machine-learning algorithm for predicting stone recurrence shows promise

Submitted by UCSF Urology on December 6, 2022 at 12:00 am
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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.

Watch video here