A Pilot Study: Detrusor Overactivity Diagnosis Method Based on Deep Learning.

Journal: Urology
Published Date:

Abstract

OBJECTIVE: To develop two intelligent diagnosis models of detrusor overactivity (DO) based on deep learning to assist doctors no longer heavily rely on visual observation of urodynamic study (UDS) curves.

Authors

  • Quan Zhou
    Department of Medical Laboratory, General Hospital of Southern Theater of PLA, Guangzhou 51010, China.
  • Zhong Chen
    Institute of HIV/AIDS The First Hospital of Changsha, Changsha, China.
  • Bo Wu
    Beijing National Laboratory for Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing China.
  • Dongxu Lin
    Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Youmin Hu
    School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China. Electronic address: youmhwh@mail.hust.edu.cn.
  • Xin Zhang
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Jie Liu
    School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China.