Wang Y
Department of Orthopedics,the First Medical Center of the General Hospital of the Chinese People's Liberation Army, Beijing100853, China.
Zhonghua Wai Ke Za Zhi. 2025 Jan 1;63(1):32-38. doi: 10.3760/cma.j.cn112139-20240922-00437.
Robotic joint surgery (RJS) has demonstrated high precision and reproducibility in total hip and knee arthroplasty,the integration of artificial intelligence(AI) has further enhanced the intelligence level of key processes,including surgical planning,registration,surgical manipulator control,and robot autonomy. AI-powered surgical planning improves implant positioning accuracy through deep learning,while AI-powered registration overcomes the limitations of traditional methods in precision and efficiency. Additionally,reinforcement learning and neural networks have optimized surgical manipulator control,improving operational accuracy and human-robot interaction. As AI continues to advance,RJS is expected to make significant strides in automation,multimodal sensing,and human-robot collaboration,driving arthroplasty surgeries toward higher levels of intelligence and individual treatment.
机器人关节手术（RJS）在全髋关节和膝关节置换术中已展现出高精度和可重复性，人工智能（AI）的融入进一步提升了关键流程的智能化水平，包括手术规划、配准、手术操作臂控制和机器人自主性。基于人工智能的手术规划通过深度学习提高植入物定位精度，而基于人工智能的配准克服了传统方法在精度和效率方面的局限性。此外，强化学习和神经网络优化了手术操作臂控制，提高了操作精度和人机交互。随着人工智能的不断发展，预计机器人关节手术将在自动化、多模态传感和人机协作方面取得重大进展，推动关节置换手术迈向更高的智能化水平和个体化治疗。
