J Trauma Acute Care Surg
September 2024
Background: The purpose of this study was to accurately predict pediatric choledocholithiasis with clinical data using a computational machine learning algorithm.
Methods: A multicenter retrospective cohort study was performed on children <18 years of age who underwent cholecystectomy between 2016 to 2019 at 10 pediatric institutions. Demographic data, clinical findings, laboratory, and ultrasound results were evaluated by bivariate analyses.