Athlete Physical Fitness Assessment and Training Optimization Assisted by Artificial Intelligence

With the rapid development of artificial intelligence technology, the physical fitness assessment and training optimization of athletes have encountered a new revolution. This article mainly discusses the potential applications of artificial intelligence in athletes’ physical fitness assessment and training optimization and analyzes the limitations of current physical fitness assessment methods. Artificial intelligence systems can perform precise assessments of athletes’ physical condition in real time by integrating sensor data, sports physiology indicators, and individual biological information. Based on these assessment results, the system can design personalized training plans, optimize training loads, and recovery periods, thereby maximizing sports performance and reducing the risk of injuries. In addition, artificial intelligence can provide scientific evidence to help coaches and athletes develop more effective training strategies by analyzing historical data and physiological responses. Case studies have verified the effectiveness of the physical fitness assessment and training optimization method assisted by artificial intelligence, indicating that this technology can offer a new perspective for sports science research and promote the comprehensive development of athletes.