Pok-Tin Tang

Development and external validation of a machine learning model for predicting gangrenous cholecystitis

Background Gangrenous cholecystitis (GC) is a severe surgical emergency with high postoperative morbidity and mortality, making early and accurate diagnosis essential for timely intervention. Conventional statistical models are limited in capturing nonlinear interactions among clinical variables and often lack interpre...