From functional diagnostics to personalized correction: the role of biomechanical screening in musculoskeletal system restoration

Abstract

Abstract: Restoration measures for individuals with functional musculoskeletal system (MSS) disorders often face limited effectiveness. Traditional prophylactic and corrective programs are generally based on universal protocols or general diagnoses, failing to account for individual biomechanical characteristics and movement patterns. These non-personalized programs lead to critical drawbacks: general exercises often target the consequence rather than the root cause of the disorder. This results in temporary relief but not in long-term correction. Furthermore, executing standard exercises amidst incorrect biomechanics can overload healthy structures, exacerbating compensatory mechanisms and increasing the risk of relapse or new injuries. Numerous studies confirm that MSS functional disorders, even with similar clinical diagnoses, possess a unique biomechanical profile in each individual. Therefore, to achieve maximum functionality, stability, and long-term results, a transition from universal schemes to a personalized strategy based on objective quantitative data is imperative. This shift mandates the implementation of biomechanical diagnostic screening as a prerequisite for the effective development of corrective programs. Objective. The research aims to substantiate and systematize the role of biomechanical diagnostic screening as an imperative for the individualization of corrective programs, and to analyze the application of contemporary technological innovations in this field. The study employed methods of analysis, synthesis, and generalization; systematization and classification; comparison and analogy; historical and logical methods; abstraction and idealization for literature review and conceptual framework development. Results. It is established that biomechanical screening enables a precise transition from the identification of functional deficits to the development of an adaptive and scientifically grounded algorithm for personalizing corrective interventions. Objective data obtained through innovative technologies, such as Wearable devices and motion capture systems, provide a foundation for early detection of dysfunctions and integration with Artificial Intelligence (AI) for risk prediction. Conclusions. The implementation of Wearable technologies and motion capture systems marks a paradigm shift in the diagnostics and correction of MSS biomechanics disorders. Their key advantages include high-precision biomechanical assessment, monitoring accessibility in real-world conditions, and the potential for early identification of functional dysfunctions. Providing objective quantitative data for personalized corrective programs, coupled with AI integration for risk forecasting, creates a powerful synergy. Consequently, these technologies, integrated into wellness fitness, physical education, and sports rehabilitation, form a new innovative, adaptive, and scientifically sound model for MSS restoration.