| Artificial Intelligence for Performance Optimization and Injury Prevention in Elite Athletes: A Narrative Review |
| Paper ID : 1564-SPORTCONGRESS (R1) |
| Authors |
|
علی حاجی علی اکبری * ندارم |
| Abstract |
| Title Artificial Intelligence for Performance Optimization and Injury Prevention in Elite Athletes: A Narrative Review Author:Ali Haji Ali Akbari¹ Affiliation:¹ Sports Researcher Abstract: Background:The development of artificial intelligence (AI) and machine learning in recent years has created unique and new opportunities for sports science, especially at the professional sports level. The aim of this review is to describe and analyze the results and classify the main applications of AI in the management and performance enhancement of elite athletes. Methods: Targeted search in reputable databases (PubMed, ScienceDirect, Web of Science, and Scopus) Of a total of 73 articles identified between 2015 and 2025 with the combined keywords “artificial intelligence”, “machine learning”, “deep learning”, “elite athlete”, “sports performance”, “injury prediction”, “sports biomechanics”, After screening the title and abstract, 28 articles were selected for full review. In the next step, by eliminating duplicate studies, studies unrelated to elite athletes, or those lacking direct application of artificial intelligence in professional sports, 9 eligible articles were finally included in the final analysis. These 9 articles included systematic reviews, narrative reviews, and applied studies that covered areas such as injury prediction, biomechanical analysis, data-driven training design, and performance optimization in professional sports. serious concerns for researchers and coaches. Conclusion: The available evidence suggests that AI can improve the performance and safety of elite athletes as a complementary tool alongside the coach, physiologist, and medical team; however, data standardization, model standardization, and ethical considerations (athlete data privacy) must be considered before its widespread use. |
| Keywords |
| Artificial intelligence, machine learning, elite athletes, injury prevention, performance analysis, sports biomechanics |
| Status: Abstract Accepted (Poster Presentation) |
