AI-based Multi-surgical Robot Collaboration System

Abstract

With the progress of science and technology, the multi-surgical robot collaboration system based on artificial intelligence has become a cutting-edge technology in the medical field. In practical applications, it has initially shown great potential, such as in some complex brain surgeries, through the assistance of the system, doctors can operate surgical instruments more accurately, avoid important nerve tissues, effectively reduce the risk of surgery, and improve the success rate of surgery. This system has advantages such as improving surgical precision, enhancing safety and improving efficiency. For example, it uses deep learning algorithms and combines medical image processing technology. However, it also faces challenges in technical and market aspects, including the need for higher precision and stability, and difficulties in integrating artificial intelligence (AI) and augmented reality (AR). To solve these problems, a new system combining 5G, AI and robot technology is proposed, and optimization strategies such as multi-objective optimization and establishing a collaborative task planning framework are adopted. In the future, this system is expected to develop through technological innovation and multi-objective optimization, bringing revolutionary changes to the medical industry and providing better medical services for patients.