AIMC Topic: Spondylarthritis
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Spondyloarthritis Research and Treatment Network (SPARTAN) Clinical and Imaging Year in Review 2024.
Current rheumatology reports
Jul 1, 2025
PURPOSE OF REVIEW: Diagnostic delay remains a critical challenge in axial spondyloarthritis (axSpA). This review highlights key clinical and imaging research from 2024 that addresses this persistent issue, with a focus on the evolving roles of MRI, a...
Artificial intelligence to predict treatment response in rheumatoid arthritis and spondyloarthritis: a scoping review.
Rheumatology international
Apr 7, 2025
To analyse the types and applications of artificial intelligence (AI) technologies to predict treatment response in rheumatoid arthritis (RA) and spondyloarthritis (SpA). A comprehensive search in Medline, Embase, and Cochrane databases (up to August...
Natural language processing to identify and characterize spondyloarthritis in clinical practice.
RMD open
May 24, 2024
OBJECTIVE: This study aims to use a novel technology based on natural language processing (NLP) to extract clinical information from electronic health records (EHRs) to characterise the clinical profile of patients diagnosed with spondyloarthritis (S...
Deep Learning Algorithm of the SPARCC Scoring System in SI Joint MRI.
Journal of magnetic resonance imaging : JMRI
Jan 2, 2024
BACKGROUND: The Spondyloarthritis Research Consortium of Canada (SPARCC) scoring system is a sacroiliitis grading system.
A deep learning model for the diagnosis of sacroiliitis according to Assessment of SpondyloArthritis International Society classification criteria with magnetic resonance imaging.
Diagnostic and interventional imaging
Apr 2, 2023
PURPOSE: The purpose of this study was to develop and evaluate a deep learning model to detect bone marrow edema (BME) in sacroiliac joints and predict the MRI Assessment of SpondyloArthritis International Society (ASAS) definition of active sacroili...
Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints.
Radiology
Aug 9, 2022
Background MRI is frequently used for early diagnosis of axial spondyloarthritis (axSpA). However, evaluation is time-consuming and requires profound expertise because noninflammatory degenerative changes can mimic axSpA, and early signs may therefor...
[Deep learning for detection of radiographic sacroiliitis].
Zeitschrift fur Rheumatologie
Jun 23, 2021
Classification Criteria for Spondyloarthritis/HLA-B27-Associated Anterior Uveitis.
American journal of ophthalmology
Apr 15, 2021
PURPOSE: The purpose of this study was to determine classification criteria for spondyloarthritis/HLA-B27-associated anterior uveitis DESIGN: Machine learning of cases with spondyloarthritis/HLA-B27-associated anterior uveitis and 8 other anterior uv...
Deep learning for detection of radiographic sacroiliitis: achieving expert-level performance.
Arthritis research & therapy
Apr 8, 2021
BACKGROUND: Radiographs of the sacroiliac joints are commonly used for the diagnosis and classification of axial spondyloarthritis. The aim of this study was to develop and validate an artificial neural network for the detection of definite radiograp...
Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging.
Advances in rheumatology (London, England)
May 7, 2020
BACKGROUND: Currently, magnetic resonance imaging (MRI) is used to evaluate active inflammatory sacroiliitis related to axial spondyloarthritis (axSpA). The qualitative and semiquantitative diagnosis performed by expert radiologists and rheumatologis...
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