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

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, 3480 w...

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Detalles Bibliográficos
Autores principales: Okita, Yasutaka, Hirano, Toru, Wang, Bowen, Nakashima, Yuta, Minoda, Saki, Nagahara, Hajime, Kumanogoh, Atsushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518918/
https://www.ncbi.nlm.nih.gov/pubmed/37749583
http://dx.doi.org/10.1186/s13075-023-03172-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518918/
https://www.ncbi.nlm.nih.gov/pubmed/37749583
http://dx.doi.org/10.1186/s13075-023-03172-x

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