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

Yasutaka OkitaToru HiranoBowen WangYuta NakashimaSaki MinodaHajime NagaharaAtsushi Kumanogoh

Published in: Arthritis research & therapy (2023)

We present the development of a deep learning model for the evaluation of cervical lesions of patients with RA. The model was demonstrably shown to be useful for quantitative evaluation.

Keyphrases

deep learning
rheumatoid arthritis
machine learning
artificial intelligence
disease activity
convolutional neural network
systemic lupus erythematosus
mass spectrometry
systemic sclerosis