Predicting Surgical Experience after Robotic Nerve-sparing Radical Prostatectomy Simulation Using a Machine Learning-based Multimodal Analysis of Objective Performance Metrics.

We have created a ML-based algorithm utilizing a novel combination of OPIs, gesture analysis, and integrated force metrics to predict surgical experience, capable of discriminating between surgeons with low or high RARP caseload with 96% AUC in a standardized, simulation-based environment.