The research progress of artificial intelligence in dynamic feedback and regulation during cardiopulmonary resuscitation

Corresponding author: XUE Qianlong, milemahu@sina.com

DOI: 10.12201/bmr.202510.00042

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  Abstract: Cardiac arrest (CA) is a significant public health issue severely threatening human life. High-quality cardiopulmonary resuscitation (CPR) can substantially improve survival rates and neurological outcomes in CA patients. Targeted monitoring and dynamic regulation are crucial prerequisites for achieving high-quality CPR. In recent years, with the rapid advancement of artificial intelligence (AI) technology, AI has played an increasingly vital role in dynamic feedback and adjustment during CPR due to its efficiency, precision, and autonomous learning capabilities. This review summarizes the research progress on the application of AI in dynamic feedback and regulation during CPR and explores its potential clinical implications.

  Key words: Cardiac arrest; Cardiopulmonary resuscitation; Artificial intelligence; Perfusion index; End-tidal carbon dioxide.

  Submit time: 23 October 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  1	2025-10-10	10.12201/bmr.202510.00042V1	Download

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