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Liu Z, Zhou K, Kueh Y C, Kuan G. Artificial Intelligence in Sports: A Systematic Review of Theoretical Foundations, Technologies, and Applications. Ann Appl Sport Sci 2026; 14 (1)
URL: http://aassjournal.com/article-1-1629-en.html
URL: http://aassjournal.com/article-1-1629-en.html
1- Exercise and Sports Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia. & Sports Reform and Development Research Center of Henan University, School of Physical Education, Henan University, 475001 Kaifeng, Hennan, China
2- Sports Reform and Development Research Center of Henan University, School of Physical Education, Henan University, 475001 Kaifeng, Hennan, China
3- Biostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
4- Exercise and Sports Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia ,garry@usm.my
2- Sports Reform and Development Research Center of Henan University, School of Physical Education, Henan University, 475001 Kaifeng, Hennan, China
3- Biostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
4- Exercise and Sports Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia ,
Abstract: (5 Views)
Objectives. This systematic review critically examines the application and theoretical prospects of Artificial Intelligence (AI) in the field of sports through the perspectives of the theoretical foundations of AI.
Methods. A comprehensive study of previous literature, involving the meticulous scrutiny of 2,368 articles, led to the methodical screening of 20 documents for review. The investigation prioritizes the analysis of computer algorithms and various technologies, with a particular emphasis on AI in sports.
Results. The results indicated that Artificial Neural Networks (ANN) dominate the sports domain, showcasing a high frequency of utilization and underscoring the prevalent use of AI technology in this domain.
Conclusion. The study methods were predetermined in a registered protocol on PROSPERO (registration number: CRD42024497839). Specifically, the data sources used in this study were limited to literature published from January 2011 to April 2024. In this process, the databases searched included Semantic Scholar, ScienceDirect, PubMed, and Scopus. After applying the inclusion and exclusion criteria, a total of 2368 articles were excluded, and consequently, only 20 articles were finally included for comprehensive analysis. Semantic Scholar, ScienceDirect, PubMed, and Scopus were searched in this study, and the main limitation lies in the possibility that data from other databases may have been omitted.
Methods. A comprehensive study of previous literature, involving the meticulous scrutiny of 2,368 articles, led to the methodical screening of 20 documents for review. The investigation prioritizes the analysis of computer algorithms and various technologies, with a particular emphasis on AI in sports.
Results. The results indicated that Artificial Neural Networks (ANN) dominate the sports domain, showcasing a high frequency of utilization and underscoring the prevalent use of AI technology in this domain.
Conclusion. The study methods were predetermined in a registered protocol on PROSPERO (registration number: CRD42024497839). Specifically, the data sources used in this study were limited to literature published from January 2011 to April 2024. In this process, the databases searched included Semantic Scholar, ScienceDirect, PubMed, and Scopus. After applying the inclusion and exclusion criteria, a total of 2368 articles were excluded, and consequently, only 20 articles were finally included for comprehensive analysis. Semantic Scholar, ScienceDirect, PubMed, and Scopus were searched in this study, and the main limitation lies in the possibility that data from other databases may have been omitted.
Keywords: Artificial Intelligence, Machine Learning, Sports Technology, Artificial Neural Networks, Virtual Reality, Sports Analysis
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APPLICABLE REMARKS
APPLICABLE REMARKS
- The systematic review conducted a systematic investigation into the theoretical foundations, technologies, and applications of AI in sports, and overall, the findings demonstrate strong applicability.
- The review summarizes the fundamental technologies related to the application of AI in sports and further analyzes the frequency of their applicability, thereby providing potential theoretical research opportunities for future development.
- By integrating AI from a sports-oriented perspective, this systematic review consequently contributes to the interdisciplinary integration of AI in sports, while also offering theoretical support and potential opportunities for the development of AI in sports.
Type of Study: Review Article |
Subject:
Sport Biomechanics and its related branches
Received: 2025/07/22 | Accepted: 2025/10/22
Received: 2025/07/22 | Accepted: 2025/10/22
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