Artificial Intelligence in Musculoskeletal Rehabilitation: A Review
DOI:
https://doi.org/10.48165/ajm.2026.9.01.47Keywords:
Artificial Intelligence, Musculoskeletal Rehabilitation, PhysiotherapyAbstract
Artificial Intelligence (AI) is emerging as a transformative technology in musculoskeletal rehabilitation by improving diagnosis, treatment planning, patient monitoring, and rehabilitation outcomes. Musculoskeletal disorders such as osteoarthritis, low back pain, sports injuries, fractures, and post-operative conditions are major causes of pain and disability worldwide. Conventional rehabilitation methods often rely on subjective assessment and prolonged clinical supervision. AI-based technologies including machine learning, deep learning, computer vision, robotics, wearable sensors, and virtual reality are increasingly being integrated into musculoskeletal rehabilitation to provide personalized, accurate, and efficient care. These technologies assist clinicians in movement analysis, posture correction, gait assessment, exercise supervision, pain prediction, and functional recovery monitoring. AI-driven rehabilitation systems also support remote rehabilitation through telemedicine platforms and wearable devices, thereby improving accessibility and patient adherence. Robotic-assisted rehabilitation and intelligent exercise systems enhance treatment precision and reduce therapist workload. Despite significant advancements, challenges such as high implementation costs, data privacy concerns, limited technical expertise, and ethical issues remain barriers to widespread adoption. This review highlights the applications, benefits, limitations, and future prospects of AI in musculoskeletal rehabilitation. The integration of AI with conventional rehabilitation approaches has the potential to revolutionize musculoskeletal care by delivering more personalized, evidence-based, and patient-centered treatment.
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