Using Intelligent Support Systems for Endoscopic Surgery Training: Analysis of Hand Motion

Abstract

The use of simulation techniques in medical education is an emerging topic in surgical training process, and there are limited number of studies found in this field in our country and the world. Recently, using the machine learning techniques in surgical training constitutes a new area of research. By using these techniques, cost-efficient educational tools will be developed in order to improve education efficiency and patient safety. In this scope, it is aimed to develop an intelligent support system by examining the hand movements of the experienced surgeons during a surgical education process and guide less-experienced surgeons. In order to develop this system, previously developed surgical simulation system infrastructure in ECE Project supported by Tubitak-1001 program will be used. The hand movements' data of experts obtained by special tactile devices (haptics) are analyzed with an experimental study. The results of this study aimed to improve the surgical simulation training process with the machine learning algorithm developed and therefore, provide a significant contribution to the surgical training process.