AI-Enhanced Robotic Telesurgical Digital Twins For 6G and Beyond

Abstract

Robotic telesurgery digital twins (RTDTs) are introducing a revolutionary experience in the surgical domain. It goes beyond traditional telesurgery approaches and targets immersive supervised surgical environments in rural areas that lack expert surgeons. In the light of intelligent Internet of Medical Things (IIOMT) and 6G capabilities, RTDTs will move from theory to practice. We aim to provide an overview of the role of 6G AI approaches, such as Deep Neural Networks, Reinforcement Learning (RL), and Federated Learning (FL) in delivering a new vision of robotic telesurgery using digital twins. Starting from the motivation behind RTDTs, the RTDT system architecture, and the potential of AI-6G approaches to tackle the existing challenges of RTDTs.