The Future of Artificial Intelligence in Sports Medicine and Return to Play.


Journal

Seminars in musculoskeletal radiology
ISSN: 1098-898X
Titre abrégé: Semin Musculoskelet Radiol
Pays: United States
ID NLM: 9717520

Informations de publication

Date de publication:
Apr 2024
Historique:
medline: 18 3 2024
pubmed: 15 3 2024
entrez: 14 3 2024
Statut: ppublish

Résumé

Artificial intelligence (AI) has shown tremendous growth over the last decade, with the more recent development of clinical applications in health care. The ability of AI to synthesize large amounts of complex data automatically allows health care providers to access previously unavailable metrics and thus enhance and personalize patient care. These innovations include AI-assisted diagnostic tools, prediction models for each treatment pathway, and various tools for workflow optimization. The extension of AI into sports medicine is still early, but numerous AI-driven algorithms, devices, and research initiatives have delved into predicting and preventing athlete injury, aiding in injury assessment, optimizing recovery plans, monitoring rehabilitation progress, and predicting return to play.

Identifiants

pubmed: 38484772
doi: 10.1055/s-0043-1778019
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

203-212

Informations de copyright

Thieme. All rights reserved.

Déclaration de conflit d'intérêts

None declared.

Auteurs

Vishal Desai (V)

Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania.

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Classifications MeSH