Deep Learning And Virtual Reality In The Surgical Sciences

Abstract

The development of visualization tools has seen remarkable expansion, with Virtual Reality (VR) and Augmented Reality (AR) emerging as groundbreaking technologies that hold significant potential in the medical field. However, their application is currently limited by the need for further advancements in creating content that merits visualization. This dissertation delves into various applications of these technologies. Initially, we will leverage deep learning to derive insights from data, which will subsequently facilitate the creation of 3D models. Following this, we will investigate the visualization strategies themselves. We aim to demonstrate how such models can serve a wide range of medical applications, from educational purposes to pre-surgical planning and assistance during surgical procedures.