Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends.

Détails

ID Serval
serval:BIB_6F3744B5DBE8
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Titre
Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends.
Périodique
Seminars in musculoskeletal radiology
Auteur(s)
Hirschmann A., Cyriac J., Stieltjes B., Kober T., Richiardi J., Omoumi P.
ISSN
1098-898X (Electronic)
ISSN-L
1089-7860
Statut éditorial
Publié
Date de publication
06/2019
Peer-reviewed
Oui
Volume
23
Numéro
3
Pages
304-311
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Artificial intelligence (AI) has gained major attention with a rapid increase in the number of published articles, mostly recently. This review provides a general understanding of how AI can or will be useful to the musculoskeletal radiologist. After a brief technical background on AI, machine learning, and deep learning, we illustrate, through examples from the musculoskeletal literature, potential AI applications in the various steps of the radiologist's workflow, from managing the request to communication of results. The implementation of AI solutions does not go without challenges and limitations. These are also discussed, as well as the trends and perspectives.
Pubmed
Web of science
Création de la notice
17/06/2019 17:21
Dernière modification de la notice
20/08/2019 15:28
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