Artificial Intelligence (AI) has been incorporated into Cyber-Physical systems (CPS), studying this area of research has been discovered to be the center of the revolution in the automated surgery industry with levels of precision, safety, and flexibility being unbeaten. The conventional methods of surgery are sometimes subjected to issues of human aspect, inconsistency in the magnitude of performance, and multidimensional nature of on-the-fly decision-making. In this paper, we present the potential AI-enabled CPS framework that will improve the surgical precision by sensing, smart decision making, and adaptive control procedures. It uses machine learning algorithms, sensor fusion and robotic actuators to provide precise intraoperative navigation, reduce potential of human error and make responsive changes to ever-changing surgical environments. Experimental simulations and preliminary tests show that the offered model high-level leverages precision, minimizes tissue damage and maximizes surgical efficiency. The study extends to the radical possibilities of utilizing AI and CPS together in medical applications, and the advantageous possibility of the introduction of fully automated surgical machines that are reliable and safe to operate on the patient.