Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/36410
Appears in Collections:Faculty of Health Sciences and Sport Journal Articles
Peer Review Status: Refereed
Title: Games Wide Open to athlete partnership in building artificial intelligence systems
Author(s): Mekki, Yosra Magdi
Ahmed, Osman Hassan
Powell, Dylan
Price, Amy
Dijkstra, H Paul
Contact Email: dylan.powell@stir.ac.uk
Keywords: Institutions
patient education
Issue Date: 2024
Date Deposited: 1-Nov-2024
Citation: Mekki YM, Ahmed OH, Powell D, Price A & Dijkstra HP (2024) Games Wide Open to athlete partnership in building artificial intelligence systems. <i>npj Digital Medicine</i>, 7 (1), Art. No.: 267. https://doi.org/10.1038/s41746-024-01261-y
Abstract: In the spirit of Paris 2024’s slogan, “Games Wide Open,” the integration of artificial intelligence (AI) in sports medicine aims to open new frontiers for athlete health and performance. Athletes and patients are increasingly recognized as essential partners in developing and implementing AI systems in sports medicine and science. AI systems in sports medicine have several possible applications, including diagnostic tools, behavior and performance monitoring systems, and external devices that monitor vital signs, sleep patterns, or other health metrics. These monitoring applications help in real-time assessment and management of an athlete’s health, enabling timely interventions and optimizing performance.
DOI Link: 10.1038/s41746-024-01261-y
Rights: Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

Files in This Item:
File Description SizeFormat 
s41746-024-01261-y (2).pdfFulltext - Published Version488.7 kBAdobe PDFView/Open



This item is protected by original copyright



A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.