Concordance analysis of intrapartum cardiotocography between physicians and artificial intelligence-based technique using modified one-dimensional fully convolutional networks.

Journal: Journal of the Chinese Medical Association : JCMA
Published Date: Feb 1, 2021

Abstract

BACKGROUND: Cardiotocography is a common method of electronic fetal monitoring (EFM) for fetal well-being. Data-driven analyses have shown potential for automated EFM assessment. For this preliminary study, we used a novel artificial intelligence method based on fully convolutional networks (FCNs), with deep learning for EFM evaluation and correct recognition, and its possible role in evaluation of nonreassuring fetal status.

Authors

  • Li-Chun Liu
    Department of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC.
  • Ya-Hui Tsai
    Institute of Computer Science and Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC.
  • Yu-Ching Chou
    School of Public Health, National Defense Medical Center, Taipei, Taiwan, ROC.
  • Ying-Chun Jheng
    Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Chi-Kang Lin
    Department of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC.
  • Ning-Yuan Lyu
    Mechanical and Mechatronics Systems Research Labs, Industrial Technology Research Institute, Hsinchu, Taiwan, ROC.
  • Yueh Chien
    Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Yi-Pin Yang
    Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Kao-Jung Chang
    School of Medicine, National Yang-Ming University, Taipei, Taiwan.
  • Keng-Hao Chang
    Institute of Computer Science and Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC.
  • Yi-Liang Lee
    Department of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC.
  • Peng-Hui Wang
    Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang-Ming University, Taipei, Taiwan.
  • Ta-Wei Chu
    Department of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan, R.O.C.
  • Cheng-Chang Chang
    Department of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan.

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