The evolution of artificial intelligence in sports: enhancing performance and decision-making
Joint Authors
Saidi, Mustafa
Jab Allah, Muhammad al-Saghir
Source
Issue
Vol. 11, Issue 1 (31 Mar. 2024), pp.345-355, 11 p.
Publisher
Publication Date
2024-03-31
Country of Publication
Algeria
No. of Pages
11
Main Subjects
Sports sciences and physical education
Abstract EN
Artificial intelligence (AI) has emerged as a transformative force across various domains, including sports.
this paper provides a comprehensive overview of the applications of AI in sports, focusing on its role in enhancing athlete performance, optimizing training regimes, and revolutionizing decision-making processes.
through machine learning algorithms, predictive analytics, and computer vision technologies, AI offers novel insights into athlete biomechanics, injury prevention, and tactical strategies.
furthermore, AI-driven solutions are revolutionizing fan engagement and athlete monitoring, ushering in a new era of data-driven sports management.
this article synthesizes current research and explores future directions for AI integration in sports, highlighting its potential to redefine sporting excellence and shape the future of competitive athletics.
American Psychological Association (APA)
Jab Allah, Muhammad al-Saghir& Saidi, Mustafa. 2024. The evolution of artificial intelligence in sports: enhancing performance and decision-making. Revue Système Sportive،Vol. 11, no. 1, pp.345-355.
https://search.emarefa.net/detail/BIM-1566437
Modern Language Association (MLA)
Jab Allah, Muhammad al-Saghir& Saidi, Mustafa. The evolution of artificial intelligence in sports: enhancing performance and decision-making. Revue Système Sportive Vol. 11, no. 1 (Mar. 2024), pp.345-355.
https://search.emarefa.net/detail/BIM-1566437
American Medical Association (AMA)
Jab Allah, Muhammad al-Saghir& Saidi, Mustafa. The evolution of artificial intelligence in sports: enhancing performance and decision-making. Revue Système Sportive. 2024. Vol. 11, no. 1, pp.345-355.
https://search.emarefa.net/detail/BIM-1566437
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references: p. 354-355
Record ID
BIM-1566437