Purpose#R##N#Routine evaluation of basic surgical skills in medical schools requires considerable time and effort from supervising faculty. For each surgical trainee, a supervisor has to observe the trainees in person. Alternatively, supervisors may use training videos, which reduces some of the logistical overhead. All these approaches however are still incredibly time consuming and involve human bias. In this paper, we present an automated system for surgical skills assessment by analyzing video data of surgical activities.
['Aneeq Zia', 'Yachna Sharma', 'Vinay Bettadapura', 'Eric L. Sarin', 'Thomas Ploetz', 'Mark A. Clements', 'Irfan A. Essa']
Automated video-based assessment of surgical skills for training and evaluation in medical schools