Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services.

Journal: Scandinavian journal of trauma, resuscitation and emergency medicine
Published Date: Mar 4, 2020

Abstract

BACKGROUND: In emergency medical services (EMSs), accurately predicting the severity of a patient's medical condition is important for the early identification of those who are vulnerable and at high-risk. In this study, we developed and validated an artificial intelligence (AI) algorithm based on deep learning to predict the need for critical care during EMS.

Authors

  • Da-Young Kang
    Artificial Intelligence and Big Data Research Center, Sejong Medical Research Institute, 20, Gyeyangmunhwa-ro, Gyeyang-gu, Incheon, Republic of Korea.
  • Kyung-Jae Cho
    VUNO, Seoul, South Korea.
  • Oyeon Kwon
    VUNO, Seoul, South Korea.
  • Joon-Myoung Kwon
    Department of Emergency Medicine, Mediplex Sejong Hospital, Incheon, Korea.
  • Ki-Hyun Jeon
    Department of Cardiology, Cardiovascular Center, Mediplex Sejong Hospital, Incheon, Korea.
  • Hyunho Park
    VUNO, Seoul, Korea.
  • Yeha Lee
    VUNO, Seoul, Korea.
  • Jinsik Park
    Department of Cardiology, Mediplex Sejong Hospital, Incheon, Korea.
  • Byung-Hee Oh
    Division of Cardiology, Cardiovascular Center, Mediplex Sejong Hospital, Incheon, Republic of Korea.

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