Background Many surgical adverse events, such as bile duct injuries during laparoscopic
cholecystectomy (LC), occur due to errors in visual perception and judgment. Artificial …

Background The potential role and benefits of AI in surgery has yet to be determined. This
study is a first step in developing an AI system for minimizing adverse events and improving …

Objective: The aim of this study was to develop and evaluate the performance of artificial
intelligence (AI) models that can identify safe and dangerous zones of dissection, and …

Abstract Background The Critical View of Safety (CVS) was proposed in 1995 to prevent bile
duct injury during laparoscopic cholecystectomy (LC). The achievement of CVS was …

Objective: The aim of this study was to develop a computer vision platform to automatically
locate critical events in surgical videos and provide short video clips documenting the critical …

Background A computer vision (CV) platform named EndoDigest was recently developed to
facilitate the use of surgical videos. Specifically, EndoDigest automatically provides short …

Strasberg's criteria to detect a critical view of safety is a widely known strategy to reduce bile
duct injuries during laparoscopic cholecystectomy. In spite of its popularity and efficiency …

Background In laparoscopic cholecystectomy (LC), achievement of the Critical View of
Safety (CVS) is commonly advocated to prevent bile duct injuries (BDI). However, BDI rates …

Background: The occurrence of biliary duct injury (BDI) after laparoscopic cholecystectomy
(LC) remains 0.2-1.5%, which is largely caused by anatomic misidentifications. To solve this …

Background: The rate of bile duct injury in laparoscopic cholecystectomy (LC) continues to
be high due to low critical view of safety (CVS) achievement and the absence of an effective …