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review article

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

Hirschmann, Anna
•
Cyriac, Joshy
•
Stieltjes, Bram
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June 1, 2019
Seminars In Musculoskeletal Radiology

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.

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Type
review article
DOI
10.1055/s-0039-1684024
Web of Science ID

WOS:000474856900014

Author(s)
Hirschmann, Anna
Cyriac, Joshy
Stieltjes, Bram
Kober, Tobias  
Richiardi, Jonas
Omoumi, Patrick
Date Issued

2019-06-01

Publisher

THIEME MEDICAL PUBL INC

Published in
Seminars In Musculoskeletal Radiology
Volume

23

Issue

3

Start page

304

End page

311

Subjects

Radiology, Nuclear Medicine & Medical Imaging

•

machine learning

•

artificial intelligence

•

deep learning

•

rheumatology

•

musculoskeletal system

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diagnostic performance

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ct-arthrography

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bone-lesions

•

cartilage

•

algorithms

•

radiology

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LTS5  
Available on Infoscience
July 24, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/159359
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