The TabNet Model for Diagnosing Axial Spondyloarthritis Using MRI Imaging Findings and Clinical Risk Factors.

Journal: International journal of rheumatic diseases
PMID:

Abstract

OBJECTIVES: The aim of this study is to develop and validate a model for predicting axial spondyloarthritis (axSpA) based on sacroiliac joint (SIJ)-MRI imaging findings and clinical risk factors.

Authors

  • Zhaojuan Zhang
    College of Information Engineering, China Jiliang University, Hangzhou, 310018, China. Electronic address: zjzhang@cjlu.edu.cn.
  • Yiling Pan
    College of Information Engineering, China Jiliang University, Zhejiang, Hangzhou, China.
  • Yanjie Lu
    College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, Zhejiang, China.
  • Lusi Ye
    Department of Rheumatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Mo Zheng
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Guodao Zhang
    Department of Digital Media Technology, Hangzhou Dianzi University, Hangzhou, 310018, China. Electronic address: guodaozhang@zjut.edu.cn.
  • Dan Chen
    Department of Information Engineering, Southwest Jiaotong University Hope College, Chengdu, Sichuan, China.