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Physiotherapy is one of the fundamental elements of multidisciplinary rehabilitation of modern times. It deals with restoration of function, movement, and quality of life for persons who have been injured, surgically treated, or have chronic problems. While important, traditional physiotherapy practices often use a subjective evaluation method along with a standardized treatment regimen, which does not consider individual differences in biomechanics or recovery potential. The merge of artificial intelligence (AI) with biomechanics provides a new, unique opportunity—completely redefining physiotherapy from its current subjective approach to data-driven, personalized, automated intervention. AI technologies such as machine learning and deep learning are capable of analyzing immense and intricate biomechanical data collected through motion capture, sensorized wearable systems, and force platforms. These systems allow analysis of movements as they happen, diagnosis of functional deficiencies, and design of rehabilitation processes to address the deficiencies. In addition, AI systems can provide progress monitoring, active biofeedback, and adaptive treatment modifications, thus improving patient participation and clinical results. This paper analyzes the overlap of innovations in physiotherapy with AI and biomechanics and examines the ways through which these innovations enable personalized interventions while overcoming the drawbacks of traditional methods. We present the institution's method of gathering the required biomechanical data and the algorithms developed for solving the movement interpretations, clinical implementation, and presented outline the challenges in the implementation process. The document also discusses upcoming possibilities like explainable AI, incorporation into robotics and digital twins, and AI's function in increasing remote access to rehabilitation services. The utilization of AI in biomechanics significantly enhances the precision and efficiency of physiotherapeutic procedures. With the continuous development of research and technology, the use of AI in physiotherapy will likely transform rehabilitation into a more intelligent, responsive, and customized process tailored to the specific recovery requirements of patients.