IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN THE PRACTICE OF ATHLETE TRAINING
Received: 2026-07-13 09:44:01
Published: 2026-04-18
Abstract
This article examines modern approaches to the implementation of artificial intelligence in the practice of athlete training. It highlights the potential of intelligent technologies in analyzing the training process, personalizing workloads, monitoring athletes’ functional condition, predicting sports performance, and preventing injuries. Particular attention is paid to the role of digital solutions in improving training efficiency and enhancing decision-making quality in sports management. The study concludes that artificial intelligence is becoming an important tool for improving the system of sports training in the context of the digital transformation of society.
Keywords
List of references
-
Bishop C. M. Pattern Recognition and Machine Learning. New York: Springer, 2006. -738 p.
-
Russell S., Norvig P. Artificial Intelligence: A Modern Approach. 4th ed. Boston: Pearson, 2021.-1152 p.
-
Goodfellow I., Bengio Y., Courville A. Deep Learning. Cambridge: MIT Press, 2016. 800 p.
-
McKinney W. Data Analysis for Sports Science and Performance. — Sebastopol: O’Reilly Media, 2022. 420 p.
-
Rein R., Memmert D. Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science // SpringerPlus. 2016. Vol. 5. P. 1-13.
-
Claudino J. G., Capanema D. O., de Souza T. V. Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports // Sports Medicine. 2019. Vol. 49(3). P. 1-15.
-
Jumayeva, Z. (2020). jumayeva, zubayda.(2020). FRAZEOLOGIK BIRLIKLARNING LINGVOKULTUROLOGIK TADQIQI. Архив Научных Публикаций JSPI, 1, 56.
-
Woods C. T., McKeown I., Rothwell M. Training process and artificial intelligence in high-performance sport // Journal of Sports Sciences. 2020. Vol. 38(11-12). P. 1355-1363.
-
Halson S. L. Monitoring training load to understand fatigue in athletes // Sports Medicine. 2014. Vol. 44. P. 139-147.
-
Фазилова, Д. Х. (2016). Механизм повышения политической активности молодёжи: анализ, проблемы и решения. Молодой ученый, (10), 1310-1312.
About the Authors
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
