Artificial intelligence assisted automatic screening of opportunistic osteoporosis in computed tomography images from different scanners.

Journal: European radiology
PMID: 39231830

Abstract

OBJECTIVES: It is feasible to evaluate bone mineral density (BMD) and detect osteoporosis through an artificial intelligence (AI)-assisted system by using quantitative computed tomography (QCT) as a reference without additional radiation exposure or cost.

Authors

  • Yan Wu
    Beijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China.
  • Xiaopeng Yang
    Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Mingyue Wang
  • Yanbang Lian
    Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
  • Ping Hou
    School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA; Michigan Institute for Computational Discovery & Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Xiangfei Chai
    Huiying Medical Technology Co., Ltd., Dongsheng Science and Technology Park, Beijing, PR China. Electronic address: chaixiangfei@huiyihuiying.com.
  • Qiong Dai
    Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China. Electronic address: daiqiong@iie.ac.cn.
  • Baoxin Qian
    Huiying Medical Technology, Beijing 100192, China.
  • Yaojun Jiang
    Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Jianbo Gao
    Department of Radiology, the First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, 450052, Henan, China. gaojianbo_cancer@163.com.

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