Abstract: The convergence of real-time AI technologies in surgery is transforming the profession by making it more precise, reducing human errors and improving patient outcomes. These technologies leverage advancements in machine learning, computer vision, and predictive analytics to assist surgeons during key methodologies. In this study, a detailed analysis of the existing reality of AI in surgery is presented, with an emphasis on their intraoperative use in preoperative planning counselling as well as follow-up postoperatively. The review emphasizes the most promising AI-driven approaches such as robotic-assisted surgery, image enhanced navigation, and real-time predictive modeling poses great challenges regarding data privacy, interoperability, algorithmic bias, and ethical considerations. The implications concern the widespread use of artificial intelligence in medical environments. In addition, this research identifies emerging trends, which includes the addition of haptic feedback and autonomous decision models, and is mindful of potential implications of AI in revolutionizing surgical procedures, resulting in enhanced patient safety and shorter recovery times.

Key words: real-time AI, AI in surgery, precision, innovation, surgical assistance