AI-guided Surgical Assistance Systems: Towards Precision and Safety in Minimally Invasive Procedures
Abstract
This study explores the role of AI-guided surgical assistance systems in improving precision and safety in minimally invasive procedures. By integrating machine learning algorithms with surgical robotics and intraoperative imaging technologies, these systems provide real-time guidance to surgeons, enabling precise tissue manipulation, anatomical mapping, and error detection during surgery. Implementation of AI-guided surgical assistance systems enhances surgical outcomes, reduces complications, and advances the field of minimally invasive surgery.
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