| Novel Applications of Artificial Intelligence in Transforming Sports Science |
| Paper ID : 1367-SPORTCONGRESS |
| Authors |
|
Mohammad Mohammadi * گروه علوم ورزشی، دانشکده ادبیات و علوم انسانی، دانشگاه ملایر، ملایر، ایران |
| Abstract |
| Introduction: Artificial Intelligence (AI) is a pioneering technology revolutionizing sports science. By providing precise analytics and insights, this technology has created unprecedented opportunities for enhancing athletic performance, preventing injuries, and optimizing training regimens. This article examines the applications of AI across various domains of sports science. Methods: This study was conducted as a systematic review. A search of reputable databases, including PubMed, Scopus, and Google Scholar, identified articles and research published between 2021 and 2025 that directly addressed the application of AI in sports science. The gathered literature was then subjected to qualitative content analysis.. Results: The research findings identified four primary areas of AI application: 1. Performance Analysis: Utilizing computer vision and machine learning algorithms to analyze match and training videos for assessing technique, strategy, and movement biomechanics. 2. Injury Prevention and Diagnosis: Predictive models based on physiological and movement data enable the identification of athletes at risk of injury. 3. Personalized Training: AI processes individual data (e.g., heart rate, sleep quality, training load) to design unique and optimized training programs. 4. Officiating and VAR: AI-based systems serve as auxiliary tools for referees' decision-making and the precise review of controversial scenes. Conclusion: As a powerful catalyst, AI is becoming an integral part of modern sports science. Despite challenges such as cost and ethical concerns, the integration of this technology promises significant enhancements in athletic performance, athlete health, and fairer competitions. Further investment and research in this field are essential to fully realize its potential. |
| Keywords |
| Artificial Intelligence, Sports Science, Performance Analysis, Injury Prevention |
| Status: Abstract Accepted (Poster Presentation) |
