AIMC Topic: Sacroiliitis
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Deep learning methods in the diagnosis of sacroiliitis from plain pelvic radiographs.
Modern rheumatology
Jan 3, 2023
OBJECTIVES: The aim of this study is to develop a computer-aided diagnosis method to assist physicians in evaluating sacroiliac radiographs.
Comment on: Deep learning algorithms for magnetic resonance imaging of inflammatory sacroiliitis in axial spondyloarthritis.
Rheumatology (Oxford, England)
Oct 6, 2022
Comment on: Deep learning algorithms for magnetic resonance imaging of inflammatory sacroiliitis in axial spondyloarthritis: reply.
Rheumatology (Oxford, England)
Oct 6, 2022
Deep learning algorithms for magnetic resonance imaging of inflammatory sacroiliitis in axial spondyloarthritis.
Rheumatology (Oxford, England)
Oct 6, 2022
OBJECTIVE: The aim of this study was to develop a deep learning algorithm for detection of active inflammatory sacroiliitis in short tau inversion recovery (STIR) sequence MRI.
Detection of radiographic sacroiliitis with an artificial neural network in patients with suspicion of axial spondyloarthritis.
Rheumatology (Oxford, England)
Dec 1, 2021
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