Keywords
Abstract
The application of intelligent rehabilitation to orthopedics and sports medicine represents a revolutionary improvement in modern medical techniques. Artificial intelligence has recently replaced the traditional diagnostic mode and driven the innovation of new treatment modes such as wearable gait sensors and biomechanical analysis tools, which can help improve the accuracy of diagnosis and treatment formulation. During various stages of motion therapy, such as walking, real-time detection allows more customized training plans to be designed for different patients. In this paper, we analyze changes in existing medical knowledge related to smart technology trends in the field of rehabilitation medicine from a broad perspective; highlight the benefits provided by intelligent devices when treating musculoskeletal system diseases based on data obtained through specific sensor combinations, allowing doctors to accurately intervene with customizations; and show improved recovery speed for the patient after receiving effective assistance from an AI device. Intelligent systems can predict possible complications or injuries using these sensors during the rehabilitation period and provide additional support and adjustment options for specific physical functions, which need further testing using larger samples and more diverse applications in clinical trials before approval by relevant authorities. At present, although a lot of work has been done toward enhancing function among those who are disabled and others affected by chronic musculoskeletal issues, there is still a noticeable gap between professionals working in hospitals and other communities due to technical limitations such as compatibility issues and similar problems that could also be explored through multi-disciplinary team research methods while balancing accessibility versus privacy aspects involving user demographics at all levels involved within health institutions today.
References
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