system
Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: BACKGROUND, METHODS, RESULTS. Meshes: Adult, Cholecystectomy, Laparoscopic, Clinical Competence, Computer Simulation, Computer-Assisted Instruction, Female, Humans, Male, Manitoba, Models, Educational, Multivariate Analysis, Reproducibility of Results, Task Performance and Analysis, User-Computer Interface, Video Recording.
user
Does laparoscopic simulation predict intraoperative performance? Context: Considerable resources have been invested in low- and high-fidelity simulators in surgical training. To our knowledge, no investigation has compared the 2 head to head for operative assessment purposes. The purpose of this study was to assess the Fundamentals of Laparoscopic Surgery (FLS) low-fidelity video trainer and LapVR (high-fidelity virtual-reality simulator) for (1) construct and (2) predictive validity using a human cholecystectomy model. Twenty-six participants performed tasks from the FLS program and the LapVR simulator as well as a human laparoscopic cholecystectomy. Performance was evaluated using FLS and LapVR metrics and the Objective Structured Assessment of Technical Skills previously validated rating scale. Construct and predictive validity were strongly demonstrated for FLS tasks but only incompletely for LapVR.
assistant
Efforts should be focused on using the well-validated lower-cost FLS video trainer for assessment of laparoscopic skills. The high-cost LapVR remains experimental in resource-constrained training programs.