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.Al-powered surgical planning improves implant positioning accuracy through deep learning,while Al-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 Al 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.
NETL
NSTL
万方数据
