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The integration of AI with biomechanics technologies is revolutionizing physiotherapy, marking the beginning of the ‘smart rehabilitation’ era. This approach improves therapeutic intervention at all levels, including precision and efficacy, by integrating artificial intelligence algorithms alongside biomechanical modeling which improves physiotherapy on all levels. Classic physiotherapy practices are highly dependent on a therapist's individual judgement and manual methods of treatment. This creates gaps in scaling, consistency, timely feedback, and real-time, objective insights. Solutions powered by artificial intelligence provide wearable sensors, robotic exoskeletons, intelligent feedback systems, and motion capture systems. These tools allow for continuous monitoring of patient progression, predicting recovery trajectories, and tailoring personalized rehabilitation plans. Machine learning models accurately capture and measuring biomechanical data like joint angles and muscle activation, which in return provides valuable insights to be used in diagnosing and therapy. Smart rehabilitation systems detect movement deviations automatically, suggesting corrective methods, and simulating possible therapy results using digital twins. Furthermore, these AI-enabled physiotherapy telerehabilitation platforms are usable remotely, improving inclusivity and reach in underserved regions. The advantages smart rehabilitation holds offers improves healthcare accessibility globally. However, this approach also presents disadvantages like privacy concerns, lack of data interoperability, elevated upfront costs, and advanced training requirements for clinicians. However, the use of AI in rehabilitation seems to have the potential to enhance the quality-of-care patients receive by making therapy more adaptive, effective, and focused on results. With the progression of technology, the application of AI-driven biomechanical technologies will surely be foundational in customized and researched proven physiotherapy frameworks. This research examines the technologies, uses, advantages, and prospective viewpoints of smart rehabilitation and how AI will transform the recovery process within clinical and home environments.