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. 2024 Jul 30;14(8):5845–5860. doi: 10.21037/qims-24-729

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2024 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

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Diagnostic accuracy of NegSpA-AI in the clinical stratification analysis. (A-D) Histograms for accuracy of NegSpA-AI in different subgroups stratified by age, disease duration, structural damage, and sex, respectively. Units for: (A) age is year; (B) disease duration is month. *, P<0.05; **, P<0.01; ***, P<0.001. ns, not significant; NegSpA-AI, an artificial intelligence tool to improve the diagnosis of axSpA in HLA-B27-negative patients; axSpA, axial spondyloarthritis; HLA-B27, human leukocyte antigen-B27.