Automatic evaluation of atlantoaxial subluxation in rheumatoid arthritis by a deep learning model

Automatic evaluation of atlantoaxial subluxation in rheumatoid arthritis by a deep learning model

Abstract Background This work aims to develop a deep learning model, assessing atlantoaxial subluxation (AAS) in rheumatoid arthritis (RA), which can often be ambiguous in clinical practice. Methods We collected 4691 X-ray images of the cervical spine of the 906 patients with RA. Among these images,...

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Bibliographic Details
Main Authors: Yasutaka Okita, Toru Hirano, Bowen Wang, Yuta Nakashima, Saki Minoda, Hajime Nagahara, Atsushi Kumanogoh
Format: Article
Language:English
Published: BMC 2023-09-01
Series:Arthritis Research & Therapy
Subjects:
Rheumatoid arthritis
Deep learning
Machine learning
Cervical spine
Atlantoaxial subluxation
Online Access:https://doi.org/10.1186/s13075-023-03172-x

Internet

https://doi.org/10.1186/s13075-023-03172-x

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