Machine Learning and Computer Vision Driving Precision in Robotic Surgery

Abstract

The utilization of Artificial Intelligence (AI) in robotic surgery represents a significant advancement in healthcare, improving precision, effectiveness, and overall patient outcomes. The research studies the recent improvements in AI-powered robotic surgery, fastening on how artificial intelligence algorithms such as machine learning, computer vision, and natural language processing are transforming surgical processes. AI improves the functioning of robotic systems by employing data-driven algorithms, enabling independent or semi-autonomous tasks, and furnishing surgeons with exceptional delicacy through real-time analytics. AI-supported minimally invasive procedures and stoked reality interfaces have helped to drop complications, rehabilitation times, and surgical failures. The exploration explores the impact of AI on surgical training and simulation, in which AI- AI-grounded virtual surroundings give surgeons realistic practice scripts before performing live operations.