Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends.
Details
Download: AI_MSK_final_revised_forOA.pdf (269.55 [Ko])
State: Public
Version: Author's accepted manuscript
License: All rights reserved
State: Public
Version: Author's accepted manuscript
License: All rights reserved
Serval ID
serval:BIB_6F3744B5DBE8
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends.
Journal
Seminars in musculoskeletal radiology
ISSN
1098-898X (Electronic)
ISSN-L
1089-7860
Publication state
Published
Issued date
06/2019
Peer-reviewed
Oui
Volume
23
Number
3
Pages
304-311
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: ppublish
Publication Status: ppublish
Abstract
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.
Keywords
Artificial Intelligence, Humans, Image Interpretation, Computer-Assisted/methods, Magnetic Resonance Imaging/methods, Musculoskeletal Diseases/diagnostic imaging, Musculoskeletal System/diagnostic imaging, Radiology/methods
Pubmed
Web of science
Create date
17/06/2019 17:21
Last modification date
05/01/2021 8:09