Role of Artificial Intelligence in Supporting the Performance of Surgical Robots: A Survey

Abstract

The applications of AI in medicine go well beyond what people may think. With an application that analyses data and fore casts infections and diseases, diseases can be predicted. In addition to giving physicians the ability to quickly and accurately assess thousands of patients, this aids in their decision-making process. As a result, doctors can eliminate the lengthy time it takes to analyze these tests without diminishing their importance because they will continue to be an integral part of doctors' medical routes, serving as an auxiliary tool. When AI is used correctly, diseases can be detected early, thereby reducing government expenditures, as this area carries significant opportunities for the growth of the healthcare sector.This study aims to shed light on the latest developments regarding the reality of using artificial intelligence and surgical robots in the healthcare sector and whether they are compatible with the wise leadership's vision for the transformation of the healthcare sector in the Kingdom of Saudi Arabia, which aims to restructure the healthcare sector as it is a fundamental pillar of the Kingdom's Vision 2030. Are we keeping up with this technological development in the healthcare sector in Saudi Arabia, and where are we heading? What is the future of artificial intelligence and surgical robots? Will robots replace human surgeons? This research relied on a survey critique methodology, reviewing previous studies between 2011 and 2021 on artificial intelligence and surgical robots. The study reached several conclusions, including the following:There is a level of responsibility and patients' ability to accept surgical robots.The clinical medical trend is to increase reliance on the capabilities of artificial intelligence and surgical robots in predicting diseases and therapeutic diagnosis.The reliance on artificial intelligence in processing big data and its development in fields such as radiology, imaging, and data analysis.