Deep Learning-Based Localization and Detection of Malpositioned Endotracheal Tube on Portable Supine Chest Radiographs in Intensive and Emergency Medicine: A Multicenter Retrospective Study.

Journal: Critical care medicine
Published Date: Dec 14, 2023

Abstract

OBJECTIVES: We aimed to develop a computer-aided detection (CAD) system to localize and detect the malposition of endotracheal tubes (ETTs) on portable supine chest radiographs (CXRs).

Authors

  • Chih-Hung Wang
    National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan.
  • Tianyu Hwang
    Mathematics Division, National Center for Theoretical Sciences, National Taiwan University, Taipei, Taiwan.
  • Yu-Sen Huang
    Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
  • Joyce Tay
    Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Cheng-Yi Wu
    Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Meng-Che Wu
    Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Holger R Roth
  • Dong Yang
    College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology Xi'an 710021 China yangdong@sust.edu.cn.
  • Can Zhao
    Ethnic Medical School, Chengdu University of Traditional Chinese Medicine, Chengdu 611131, China.
  • Weichung Wang
    Graduate Program of Data Science, National Taiwan University and Academia Sinica, Taipei, Taiwan.
  • Chien-Hua Huang
    Department of Emergency Medicine, National Taiwan University, 100 Taipei, Taiwan.

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