Deep learning-based prognostic model using non-enhanced cardiac cine MRI for outcome prediction in patients with heart failure.

Journal: European radiology
PMID:

Abstract

OBJECTIVES: To evaluate the performance of a deep learning-based multi-source model for survival prediction and risk stratification in patients with heart failure.

Authors

  • Yifeng Gao
    From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University.
  • Zhen Zhou
    Deepwise Healthcare, Beijing 100080, China.
  • Bing Zhang
    School of Information Science and Engineering, Yanshan University, Hebei Avenue, Qinhuangdao, 066004, China.
  • Saidi Guo
    Cooperative Innovation Center of Internet Healthcare, Zhengzhou University, Zhengzhou 450001, China.
  • Kairui Bo
    From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University.
  • Shuang Li
    Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.
  • Nan Zhang
    Department of Pulmonary and Critical Care Medicine II, Emergency General Hospital, Beijing, China.
  • Hui Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Guang Yang
    National Heart and Lung Institute, Imperial College London, London, UK.
  • Heye Zhang
    School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China.
  • Tong Liu
    Intensive Care Medical Center, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, People's Republic of China.
  • Lei Xu
    Key Laboratory of Biomedical Information Engineering of the Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.