Keywords
artificial intelligence
injuries
training optimization
How to Cite
Abstract
The paper discusses the possibility of using artificial intelligence (AI) in team sports, in particular its role is focused on the prediction of injuries and optimization of training. The latest trends, such as multimodal data analysis, deep learning algorithms and the integration of wearable devices and relevant technologies, are characterized and analyzed. The paper draws on international experience in football, basketball and rugby, and also discusses ethical and technological challenges. The study highlights the importance of AI for improving athlete health and team performance, especially in the context of Georgian sports.
References
Gonçalves, B., Figueiredo, P., & Silva, F. (2022). Artificial Intelligence in Sports: Applications and Challenges. Journal of Sports Analytics, 8(3), 145–162.
Li, X., & Chen, J. (2021). Machine Learning in Athlete Performance Monitoring. IEEE Transactions on Computational Intelligence and AI in Games, 13(4), 678–689.
Baca, A., & Kornfeind, P. (2020). Real-time Performance Analysis in Sports Using AI Technologies. Journal of Sports Science & Medicine, 19(2), 233–246.
Dutta, S., & Chakraborty, S. (2021). Predictive Modeling in Competitive Sports Using AI. International Journal of Sports Science, 11(1), 45–58.
Ribeiro, J., & Santos, M. (2023). Ethical and Data Privacy Challenges in Sports AI Applications. Sport Management Review, 26(2), 210–225.