Exploring the Role of Artificial Intelligence in Sports Injury Prevention and Rehabilitation

• DOI: 10.12694/scpe.v26i1.3544
• Publication Date: 2025-01-05T13:04:06Z
• Authors: Rongchao Zou
• Keywords: Sports Injury

This research examines the utilisation of artificial intelligence (AI) in sports damage anticipation and recovery, pointing to optimising competitor care execution. Leveraging different datasets comprising execution measurements, biomechanical estimations, histories, physiological parameters, natural components, four AI calculations were actualised compared: Support Vector Machines (SVM), Random Forest, Recurrent Neural Networks (RNN), Slope Boosting (GBM). It comes about illustrating critical viability overall calculations, with RNN accomplishing most elevated measurements. Exactness values for SVM, Irregular Timberland, RNN, GBM 0.85, 0.88, 0.90, 0.87 separately, comparing accuracy, recall, F1-score demonstrating strong prescient capabilities. These discoveries emphasise potential AI-driven approaches precisely distinguish dangers personalise recovery conventions custom-made personal needs. The comparative examination against existing strategies highlights prevalent emphasising transformative effect progressed advances science pharmaceuticals.