人工智能和数字医疗技术正在变革膝关节手术,涵盖从诊断和计划制定到术中引导、康复和预后预测的各个环节。本专题探讨了人工智能、机器学习、机器人技术和数字工具如何支持贯穿整个临床路径的个性化护理。主题包括:个体化对线目标、预测模型、并发症预测、人工智能辅助康复、患者特定计划、植入物选择和可穿戴设备监测。
AI and digital health technologies are transforming knee surgery, from diagnosis and planning to intraoperative guidance, rehabilitation, and outcome prediction. This Collection explores how AI, machine learning, robotics, and digital tools support personalized care across the clinical pathway. Topics include individualized alignment targets, predictive models, complication forecasting, AI-assisted rehabilitation, patient-specific planning, implant selection, and wearable monitoring.