Deep learning-based artificial intelligence model for classification of vertebral compression fractures: A multicenter diagnostic study.

Journal: Frontiers in endocrinology
Published Date:

Abstract

OBJECTIVE: To develop and validate an artificial intelligence diagnostic system based on X-ray imaging data for diagnosing vertebral compression fractures (VCFs).

Authors

  • Fan Xu
    Department of Public Health, Chengdu Medical College, Sichuan, China.
  • Yuchao Xiong
    Department of Radiology, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, China.
  • Guoxi Ye
    Department of Radiology, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, China.
  • Yingying Liang
    Department of Ophthalmology, Guangdong Provincial People's Hospital; Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China.
  • Wei Guo
    Emergency Department, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Qiuping Deng
    Department of Radiology, Hubei 672 Integrated Traditional Chinese and Western Medicine Orthopedic Hospital, Wuhan, Hebei, China.
  • Li Wu
    Institute of Food Science and Technology, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China.
  • Wuyi Jia
    Department of Radiology, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, China.
  • Dilang Wu
    Department of Radiology, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, China.
  • Song Chen
    Department of Nuclear Medicine, The First Hospital of China Medical University, Shenyang, China.
  • Zhiping Liang
    Department of Radiology, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, China.
  • Xuwen Zeng
    Department of Radiology, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, China.