Machine learning value in the diagnosis of vertebral fractures: A systematic review and meta-analysis.

Journal: European journal of radiology
PMID: 39241305

Abstract

PURPOSE: To evaluate the diagnostic accuracy of machine learning (ML) in detecting vertebral fractures, considering varying fracture classifications, patient populations, and imaging approaches.

Authors

  • Yue Li
    School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, China.
  • Zhuang Liang
    Pain Ward of Rehabilitation Department, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710054, PR China.
  • Yingchun Li
    Pain Ward of Rehabilitation Department, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710054, PR China.
  • Yang Cao
    Tianjin Institute of Health & Environmental Medicine, 1 Dali Road, Heping District, Tianjin, 300050, China.
  • Hui Zhang
    Department of Pulmonary Vessel and Thrombotic Disease, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China.
  • Bo Dong
    Department of Cardiology, Tianjin Chest Hospital, No 261, Taierzhuang South road, Jinnan district, Tianjin, 300222, China.

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