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Volume 14 Issue 3
May  2023
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Article Navigation >  Medical Journal of Peking Union Medical College Hospital  > 2023  >  14(3): 453-458
LIU Shuai, ZHU Huadong. Application of Artificial Intelligence in Cardiopulmonary Resuscitation[J]. Medical Journal of Peking Union Medical College Hospital, 2023, 14(3): 453-458. doi: 10.12290/xhyxzz.2022-0711
Citation: LIU Shuai, ZHU Huadong. Application of Artificial Intelligence in Cardiopulmonary Resuscitation[J]. Medical Journal of Peking Union Medical College Hospital, 2023, 14(3): 453-458. doi: 10.12290/xhyxzz.2022-0711
shu

Application of Artificial Intelligence in Cardiopulmonary Resuscitation

doi: 10.12290/xhyxzz.2022-0711
  • 1.

    Emergency Department, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China

  • 2.

    State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China

Funds:

Scientific and Technological Innovation 2030-New Generation Artificial Intelligence Project 2020AAA0109600

More Information
  • Corresponding author: ZHU Huadong, E-mail: huadongzhu@hotmail.com
  • Received Date: 2022-12-11
  • Accepted Date: 2023-01-29
    • Available Online: 2023-02-16
  • Publish Date: 2023-05-30
    Abstract
  • With the development of artificial intelligence, computer hardware and big data, more and more artificial intelligent devices and algorithm are springing up. Based on the analysis of these data, great achievements has been made by artificial intelligent devices to predict the risk of the cardiac arrest, identify early period of cardiac arrest, instruct the process to improve the quality of cardiopulmonary resuscitation and resuscitation prediction. Meanwhile these tools not only provide new insight for clinical research, but play significant roles in clinical decision making and medical resources distribution. This paper focuses on the application of artificial intelligence in cardiopulmonary resuscitation, in order to provide reference for clinical practice.
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