Motion capture system enhances laparoscopic training evaluation

A motion capture-based surgical skill assessment system has shown promise in laparoscopic training environments, achieving classification accuracies of 67.3% for periaortic tissue dissection and 56.9% for parenchymal closure. Researchers evaluated 38 urologists, 4 junior residents, and 10 medical students, finding strong correlations in skill predictions with a correlation coefficient of 0.86. Participants praised the real-time feedback system, indicating its potential to improve training outcomes and accelerate surgical skill acquisition effectively.