AI-Augmented Robotic Surgery in Orthopedics: Advancing Precision, Operational Efficiency, and Long-Term Clinical Outcomes

Abstract

Robotically assisted surgery has revolutionized the field of orthopedics by improving the accuracy of surgical techniques and minimizing errors. With the use of artificial intelligence (AI), these technologies have been further enhanced due to features such as real-time decision making, predictive analytics, and adaptive learning. In this paper, the effect of AI-powered robotic orthopedic surgery systems on increased precision, efficiency, and better results is explored and analyzed through a hybrid framework. The study was based on a real-world data set of 1,248 cases of robotically assisted TKAs and THAs carried out from 2021 to 2025 at three tertiary care hospitals in Maharashtra, India. It is found that the use of AI technology in robotically assisted orthopedic surgery increased precision to 98.7%, decreased average surgical duration by 22%, and decreased average blood loss by 31% compared to conventional robot-assisted techniques. At two- and five-year follow-ups, patients had statistically significantly lower revision rates (2.1% compared to 6.8%) and higher patient reported Oxford knee score improvement (18.4 points improvement). The proposed framework facilitated personalized surgical planning with the aid of AI-powered risk prediction capabilities.