The Role of Artificial Intelligence in the Diagnosis and Prediction of Sports Injuries Using Portable Devices

Abstract

This review provides detailed information on the current advancements in artificial intelligence in sports scenarios, including injury prediction, motion detection, and performance optimization. The AI diagnostic applications showcase ML and DL techniques, such as RFs, SVM, CNN, and ANN, which are all applied to forecasting injuries in various sports by integrating different data provided by individuals. Several sensor-based technologies emphasize the importance of inertial measurement units and sensor fusion in motion detection across a wide range of human joints. Meanwhile, in the sport of hammer throw, real-time biomechanical feedback is developed, aiming for more precise and accurate results. Generally, AI not only benefits athletes safely and thoroughly, but also promotes the sport medicine field to take a step forward by offering data and more research. The future of AI is optimistic and promising in the field of sports medicine, and the review has already identified ways to tackle several challenges that remain unresolved in the current situation.