AUTONOMOUS SURGERY USING ARTIFICIAL INTELLIGENCE

Abstract

This paper provides a critical evaluation of the use of Articial Intelligence in laparoscopic surgery. It aims to evaluate and identify the feasibility of implementing machine learning in existing surgical robots to perform autonomous surgery. More specically, it looks at whether a machine learning algorithm, given a set of simple instructions, can perform a laparoscopic cholecystectomy autonomously. It evaluates the ability of such an algorithm to identify various parts of the body during the surgery and whether it can follow short instructions step-by-step in an organised manner to conduct the surgery. The paper also considers the feasibility of implementing such an algorithm in an existing surgical robot such as the da Vinci Xi. The paper begins by evaluating the advantages and disadvantages of a robotic cholecystectomy. It looks at the various machines used for this purpose and assesses their abilities and limitations. It then aims to identify which of these machines is most suitable for performing autonomous surgery using machine learning. It then looks at the current use of autonomous surgery in the medical eld and its implementation to date. It evaluates which algorithms are suitable for this purpose and to what extent they can function. Finally, it gives the limitations of this method and the unexplored factors of this research