Toward Immersive and Interactive Surgical Training Using Extended Reality Simulator for IoMT

Abstract

Since the advent of virtual reality (VR), it has been implemented in medical education for surgical training and anatomy education so that the Internet of Medical Things (IoMT) could be further boosted. There have been rare studies on the research trends of the evaluation of endoscopic training through different XR modalities. Position-based dynamics (PBD) has been utilized to optimize the surgical thread simulation, This paper aims to quantitatively evaluate the training performance of each XR modality in general and in terms of the medical fields studied and outcomes measured. Sensors and devices are utilized to form the Internet of Medical Things for healthcare, where the data is uploaded to the cloud and then analyzed as follows before being fed back to the doctor so that he or she can understand his or her level of operation. Through subjective and objective evaluation, the potential promoting effects of vision and touch in module training were discussed.