Development of artificial intelligence-driven biosignal-sensitive cardiopulmonary resuscitation robot.

Journal: Resuscitation
PMID: 39122176

Abstract

AIM OF THE STUDY: We evaluated whether an artificial intelligence (AI)-driven robot cardiopulmonary resuscitation (CPR) could improve hemodynamic parameters and clinical outcomes.

Authors

  • Taegyun Kim
    Department of Emergency Medicine, Seoul National University Hospital, Seoul, Korea.
  • Gil Joon Suh
    Department of Emergency Medicine, Seoul National University Hospital, Seoul, Korea.
  • Kyung Su Kim
    Department of Emergency Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Department of Emergency Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Research Center for Disaster Medicine, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea. Electronic address: kanesu@snuh.org.
  • Hayoung Kim
    Department of Emergency Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea. Electronic address: 66198@snuh.org.
  • Heesu Park
    Department of Emergency Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea. Electronic address: 66301@snuh.org.
  • Woon Yong Kwon
    Department of Emergency Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Department of Emergency Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Research Center for Disaster Medicine, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea. Electronic address: kwy711@snu.ac.kr.
  • Jaeheung Park
    Graduate School of Convergence Science and Technology, ASRISeoul National University Gwanak-gu Seoul 08826 Republic of Korea.
  • Jaehoon Sim
    Graduate School of Convergence Science and Technology, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea. Electronic address: simjeh@snu.ac.kr.
  • Sungmoon Hur
    Graduate School of Convergence Science and TechnologySeoul National University Gwanak-gu Seoul 08826 Republic of Korea.
  • Jung Chan Lee
    Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea.
  • Dong Ah Shin
    Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea. Electronic address: 1012sda@snu.ac.kr.
  • Woo Sang Cho
    Interdisciplinary Program in Bioengineering, Graduate School, Seoul National University, 101, Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
  • Byung Jun Kim
    Interdisciplinary Program in Bioengineering, Graduate School, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea. Electronic address: kbj2288@snu.ac.kr.
  • Soyoon Kwon
    Interdisciplinary Program in Bioengineering, Graduate School, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea. Electronic address: kosoun5858@snu.ac.kr.
  • Ye Ji Lee
    Biomedical Research Institute, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea. Electronic address: jspt0161@gmail.com.

Keywords

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