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A pilot study on deep learning-based grading of corners of vertebral bodies for assessment of radiographic progression in patients with ankylosing spondylitis.

Bon San KooJae Joon LeeJae-Woo JungChang Ho KangKyung Bin JooTae Hwan KimSeunghun Lee
Published in: Therapeutic advances in musculoskeletal disease (2022)
A high-performance deep learning model for grading the corners of the vertebral bodies was developed for the first time. This model must be improved and further validated to develop a computer-aided tool for assessing mSASSS in the future.
Keyphrases
  • deep learning
  • ankylosing spondylitis
  • rheumatoid arthritis
  • bone mineral density
  • artificial intelligence
  • disease activity
  • convolutional neural network
  • machine learning
  • systemic lupus erythematosus
  • current status