Strengths, weaknesses, opportunities, and threats associated with the application of artificial intelligence in connection with sport research, coaching, and optimization of athletic performance: a brief SWOT analysis.
SWOT
XAI
XAI and explainable artificial intelligence
artifical inteligence
elite sport
exercise science
performance
Journal
Frontiers in sports and active living
ISSN: 2624-9367
Titre abrégé: Front Sports Act Living
Pays: Switzerland
ID NLM: 101765780
Informations de publication
Date de publication:
2023
2023
Historique:
received:
14
07
2023
accepted:
29
09
2023
medline:
3
11
2023
pubmed:
3
11
2023
entrez:
3
11
2023
Statut:
epublish
Résumé
Here, we performed a non-systematic analysis of the strength, weaknesses, opportunities, and threats (SWOT) associated with the application of artificial intelligence to sports research, coaching and optimization of athletic performance. The strength of AI with regards to applied sports research, coaching and athletic performance involve the automation of time-consuming tasks, processing and analysis of large amounts of data, and recognition of complex patterns and relationships. However, it is also essential to be aware of the weaknesses associated with the integration of AI into this field. For instance, it is imperative that the data employed to train the AI system be both diverse and complete, in addition to as unbiased as possible with respect to factors such as the gender, level of performance, and experience of an athlete. Other challenges include e.g., limited adaptability to novel situations and the cost and other resources required. Opportunities include the possibility to monitor athletes both long-term and in real-time, the potential discovery of novel indicators of performance, and prediction of risk for future injury. Leveraging these opportunities can transform athletic development and the practice of sports science in general. Threats include over-dependence on technology, less involvement of human expertise, risks with respect to data privacy, breaching of the integrity and manipulation of data, and resistance to adopting such new technology. Understanding and addressing these SWOT factors is essential for maximizing the benefits of AI while mitigating its risks, thereby paving the way for its successful integration into sport science research, coaching, and optimization of athletic performance.
Identifiants
pubmed: 37920303
doi: 10.3389/fspor.2023.1258562
pmc: PMC10618674
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1258562Informations de copyright
© 2023 Sperlich, Düking, Leppich and Holmberg.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
Références
J Strength Cond Res. 2014 Feb;28(2):528-33
pubmed: 23689339
Sci Rep. 2022 Jan 21;12(1):1117
pubmed: 35064172
J Sports Sci. 2021 Mar;39(5):523-532
pubmed: 33106106
Front Pediatr. 2022 Aug 10;10:929834
pubmed: 36034568
Cureus. 2023 May 19;15(5):e39224
pubmed: 37337487
Front Physiol. 2018 Mar 05;9:128
pubmed: 29551978
Sensors (Basel). 2018 May 19;18(5):
pubmed: 29783763
Front Physiol. 2017 Sep 05;8:629
pubmed: 28928670
Ann Biomed Eng. 2022 Mar;50(3):330-342
pubmed: 35099657
Acad Radiol. 2020 Jan;27(1):96-105
pubmed: 31818390
Sports Med Open. 2019 Jul 3;5(1):28
pubmed: 31270636
Lancet Digit Health. 2023 Jun;5(6):e333-e335
pubmed: 37120418
Cureus. 2023 Apr 14;15(4):e37589
pubmed: 37197105
Front Sports Act Living. 2022 Jul 11;4:861466
pubmed: 35899138
Sensors (Basel). 2022 Dec 28;23(1):
pubmed: 36616915
Sports Med. 2023 Aug 8;:
pubmed: 37552460
Front Sports Act Living. 2021 Jan 21;2:630576
pubmed: 33554111
J Family Med Prim Care. 2019 Jul;8(7):2328-2331
pubmed: 31463251