AI in Sports Analytics: A Review of Performance Optimization and Injury Prevention Techniques

Abstract

The use of AI in sports analytics has enhanced athlete performance monitoring, strategic decision-making, and injury prevention. This paper reviews AI applications in player tracking, predictive analytics, and biomechanics assessment. We analyze the use of machine learning models in game strategy optimization, fatigue analysis, and rehabilitation programs. Challenges such as data accuracy, AI bias in talent scouting, and ethical concerns in sports technology are discussed. Future directions include real-time AI coaching systems and AI-assisted referee decisions.