Evaluating surgical performance in real time using data mining

Abstract

© 2013, Australian Computer Society, Inc. Virtual reality simulators are becoming increasingly popular as adjuncts to traditional surgical training methods, but most simulators do not have the ability to evaluate performance on-the-fly and provide advice to trainees as they practice. Timely feedback on performance is a critical component of surgical training, therefore the ability to provide such evaluation is necessary if simulation is to be effective as a platform for self-guided learning. We propose an evaluation framework to automatically assess performance within a temporal bone simulator in real time. This evaluation framework uses data mining techniques to assess performance at differ..