PRECISION REHABILITATION: SYNERGY BETWEEN INNOVATIVE DIGITAL TECHNOLOGIES AND INSTRUMENTAL DIAGNOSTIC METHODS
DOI:
https://doi.org/10.32782/health-2026.1.24Keywords:
precision rehabilitation, digital technologies, virtual reality, telerehabilitation, wearable devices, cognitive impairments, instrumental diagnostics, artificial intelligenceAbstract
Based on a systematic analysis of contemporary scientific publications, the article examines the concept of precision rehabilitation as one of the promising directions in the development of modern rehabilitation medicine. The study focuses on the integration of innovative digital technologies and instrumental diagnostic methods in the process of restoring patients’ functional status. Particular attention is paid to the use of virtual reality systems, wearable technologies, artificial intelligence algorithms, and telerehabilitation platforms in combination with advanced objective assessment tools, including functional near-infrared spectroscopy (fNIRS) and gait analysis systems. The paper summarizes the results of recent clinical studies demonstrating the effectiveness of integrating monitoring technologies directly into the rehabilitation process for patients with cognitive impairments, mild cognitive impairment (MCI), and consequences of complex traumatic injuries. It is shown that the use of objective functional and biometric data obtained in real time creates new opportunities for the personalization of rehabilitation programs, optimization of therapeutic interventions, and improvement of neural efficiency. Such approaches allow clinicians to adjust training intensity and rehabilitation strategies according to the individual functional state of each patient. Special attention is also given to the potential of telerehabilitation technologies and artificial intelligence systems as tools for continuous remote monitoring, clinical decision support, and improvement of accessibility to rehabilitation services. The findings indicate that the integration of digital technologies with instrumental diagnostics contributes to the development of a new paradigm of personalized and evidence-based rehabilitation aimed at improving patient outcomes and quality of life. In addition, the implementation of such technologies facilitates a more objective evaluation of rehabilitation progress and supports data-driven clinical decision-making. The results of the study highlight the importance of further interdisciplinary research aimed at developing standardized protocols for the integration of digital technologies into clinical rehabilitation practice
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