Loughborough University
Browse

Artificial intelligence in sport: a narrative review of applications, challenges and future trends

Download (2.42 MB)
journal contribution
posted on 2025-07-02, 14:38 authored by Diwei ZhouDiwei Zhou, Justin WL Keogh, Yingliang Ma, Raymond KY Tong, Abdul R Khan, Nicholas R Jennings

This narrative review explores the transformative impact of artificial intelligence (AI) in sport, covering its applications, challenges and future directions across key areas such as biomechanics, performance enhancement, sports medicine, health monitoring, coaching and talent identification. AI can potentially empower athletes to optimise movement, personalise training, improve diagnostics and accelerate rehabilitation. However, integrating AI into sport presents challenges, particularly around data privacy, ethical concerns and adoption within sport organisations. This review also addresses these issues, highlighting strategies for responsible data governance and transparency. Furthermore, the review explores the promising future trends for AI in sport, which suggest a profound impact how sport is practiced and managed globally, pointing towards an era of enhanced performance, health and inclusivity.

History

School

  • Science

Published in

Journal of Sports Sciences

Publisher

Informa UK Limited trading as Taylor & Francis Group

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

Publication date

2025-06-15

ISSN

0264-0414

eISSN

1466-447X

Language

  • en

Depositor

Prof Diwei Zhou. Deposit date: 17 June 2025