Introduction: Injury prevention and rehabilitation are fundamental components of modern sports science and athlete management. Sports injuries not only negatively impact athletic performance and career longevity. Method: This study aims to compare the effectiveness of traditional rehabilitation protocols versus modern rehabilitation programs assisted by Artificial Intelligence (AI) techniques in basketball players who sustained lower-limb injuries (knee, ankle, or musculature). Result: Primary outcomes include time to return to play (RTP), changes in physical performance indicators (muscular strength, explosive power, balance, shooting accuracy), and re-injury rates over a 12-month follow-up period. Secondary outcomes examine athlete and clinician satisfaction with each protocol. Conclusion: The trial uses baseline measurement, 3-month and 6-month post-intervention assessments, and a 12-month tracking of re-injury. It is hypothesized that the AI-assisted group will demonstrate shorter RTP time, superior gains in performance measures, and lower re-injury incidence compared to the traditional group. These findings may inform rehabilitation practice in sport and support evidence-based adoption of AI tools in athlete recovery programs.
Haddad et al. (Thu,) studied this question.