AI-Assisted Robotic Surgery: Enhancing Precision and Outcomes
Abstract
Robotic surgery has revolutionized the field of surgery, and artificial intelligence (AI) is further enhancing its precision and outcomes. This paper explores the role of AI in robotic-assisted surgeries, focusing on its ability to provide real-time decision support, enhance surgical precision, and reduce recovery times. The study reviews various AI algorithms used in robotic surgery systems, such as machine learning models for predicting surgical outcomes and computer vision techniques for real-time tissue recognition. Case studies demonstrating the benefits of AI-assisted robotic surgeries in various specialties, including cardiology, orthopedics, and neurology, are discussed. The paper also addresses the challenges of ensuring the safety and reliability of AI systems in surgical environments.
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