Integration of biomechanics and AI in music therapy: Exploring the impact of personalized music composition on psychosocial rehabilitation and data support

The purpose of this study is to explore the application of the integration of biomechanics and artificial intelligence (AI) technology in the field of music therapy and its impact on psychological rehabilitation. The results of the study show that the personalized music composition method based on biomechanics and AI technology can effectively improve the relevance and effectiveness of music therapy, and significantly promote the rehabilitation of patients with anxiety, depression and other psychological disorders. By analyzing the relationship between patients’ physiological and psychological data and music parameters, the superiority of personalized music therapy in terms of psychological recovery indicators is confirmed. The results of the study provide theoretical basis and practical guidance for the innovative development of the music therapy field, pointing out the future research direction of optimizing the AI model, expanding the scope of application and exploring the therapeutic mechanism in depth. The integration of biomechanics and AI in music therapy presents a novel approach to enhancing psychological rehabilitation. This addition will discuss the potential of this interdisciplinary approach to offer more precise, tailored treatments that can adapt to the individual needs of each patient in real-time. It will also address the ethical considerations and potential challenges associated with the use of advanced technologies in therapeutic settings, such as data privacy and algorithmic transparency.