[Application and prospects of medical-engineering integration technology in rehabilitation following total knee arthroplasty].

This paper systematically reviews the relevant literature from the China National Knowledge Infrastructure (CNKI) and Web of Science databases, focusing on the three key components of rehabilitation after total knee arthroplasty (TKA):evaluation, intervention, and management. It summarizes the progress of medical-engineering integration technologies. Quantitative assessment methods, such as gait analysis, enhance the objectivity and continuity of functional evaluations but are constrained by issues like inconsistent data standards. Rehabilitation robotics offers controllability and traceability, making it promising for personalized treatment plans, though challenges related to equipment costs and scene adaptation remain. AI-assisted decision-making systems integrate multi-source information for treatment recommendations, improving decision-making efficiency and accuracy, but their effectiveness is limited by dependence on data quality. Immersive virtual reality (VR) training enhances engagement, improves proprioception, and helps manage pain, but its effectiveness is influenced by device limitations and individual tolerance. Remote rehabilitation systems significantly improve the continuity of management, yet their widespread implementation faces challenges, including low acceptance among older adults and inadequate infrastructure. Current research hotspots are mainly focused on device development, data integration and interoperability, and strengthening clinical evidence. The authors suggest that future efforts should strengthen interdisciplinary collaboration and conduct high-quality clinical research to establish a generalizable intelligent precision rehabilitation model.