Advancements in Uric Acid Stone Detection: Integrating Deep Learning with CT Imaging and Clinical Assessments in the Upper Urinary Tract.

The incidence of urinary tract stones is increasing worldwide, with a notably high recurrence rate. Among upper urinary tract stones, a significant proportion comprises uric acid stones. This study aims to rapid and reliable identification of uric acid stones in the upper urethra by gathering comprehensive biochemical profiles, urinalysis, and CT scan data from 276 patients diagnosed with kidney and ureteral stones. Leveraging machine learning techniques, the goal is to establish multiple predictive models that can accurately identify uric acid stones.