Artificial intelligence, machine learning and deep learning in musculoskeletal imaging: Current applications.
artificial intelligence
deep learning
machine learning
musculoskeletal imaging
Journal
Journal of clinical ultrasound : JCU
ISSN: 1097-0096
Titre abrégé: J Clin Ultrasound
Pays: United States
ID NLM: 0401663
Informations de publication
Date de publication:
Nov 2022
Nov 2022
Historique:
revised:
18
08
2022
received:
15
06
2022
accepted:
20
08
2022
pubmed:
8
9
2022
medline:
15
11
2022
entrez:
7
9
2022
Statut:
ppublish
Résumé
Artificial intelligence is rapidly expanding in all technological fields. The medical field, and especially diagnostic imaging, has been showing the highest developmental potential. Artificial intelligence aims at human intelligence simulation through the management of complex problems. This review describes the technical background of artificial intelligence, machine learning, and deep learning. The first section illustrates the general potential of artificial intelligence applications in the context of request management, data acquisition, image reconstruction, archiving, and communication systems. In the second section, the prospective of dedicated tools for segmentation, lesion detection, automatic diagnosis, and classification of musculoskeletal disorders is discussed.
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
1414-1431Informations de copyright
© 2022 Wiley Periodicals LLC.
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