Review on Advancements in Artificial Intelligence and its Applications in Sports

Main Article Content

Jun Jie Ooi
Yit Hong Choo
Andi Prademon Yunus
Wei Hong Lim
Sui Yang Khoo

Abstract

The sport industry is being transformed by Artificial Intelligence (AI) in many ways. This paper seeks to discuss how AI has improved sports science, particularly in boosting the athletes’ performance and avoiding injuries, through various machine learning models like Extreme Gradient Boosting, Support Vector Machines, and Random Forest Regression. These AI tools are more effective than the traditional methods, as they predict the athletes’ performance results more accurately and managing their injuries more proactively. This paper also discusses the challenges of using AI in the sport industry, particularly in terms of data privacy and the reliability of the models. With the aid of AI, it is of no doubt that sport science will have a promising future.


Manuscript received: 24 Oct 2024 | Revised: 10 Dec 2024 | Accepted: 17 Dec 2024 | Published: 31 Mar 2025

Article Details

How to Cite
Ooi, J. J., Choo, Y. H. ., Yunus , A. P. ., Lim, W. H., & Khoo, S. Y. (2025). Review on Advancements in Artificial Intelligence and its Applications in Sports. International Journal on Robotics, Automation and Sciences, 7(1), 58–63. https://doi.org/10.33093/ijoras.2025.7.1.7
Section
Articles
Author Biographies

Jun Jie Ooi, School of Engineering, Deakin University (Australia)

School of Engineering at Deakin University, Waurn Ponds, Australia

Yit Hong Choo, Institute for Intelligent Systems Research and Innovation, Deakin University (Australia)

Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, Australia

Andi Prademon Yunus , Department of Informatics, Telkom University (Indonesia)

Department of Informatics, Telkom University, Purwokerto, Indonesia

Wei Hong Lim, Faculty of Engineering, Technology and Built Environment, UCSI University (Malaysia)

Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur, Malaysia

Sui Yang Khoo, School of Engineering, Deakin University (Australia)

School of Engineering at Deakin University, Waurn Ponds, Australia

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