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Artificial intelligence as a virtual dispatcher: Decision support for lay responders in simulated cardiac arrest scenarios.

作者信息

Bánfai Bálint, Betlehem József, Bánfai-Csonka Henrietta

机构信息

University of Pécs, Faculty of Health Sciences, Institute of Emergency Care, Pedagogy of Health and Nursing Sciences, 7621 Pécs, Vörösmarty Street 4, Hungary.

出版信息

Resusc Plus. 2025 Jul 25;25:101043. doi: 10.1016/j.resplu.2025.101043. eCollection 2025 Sep.

DOI:10.1016/j.resplu.2025.101043
PMID:40791935
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12337681/
Abstract
摘要

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本文引用的文献

1
Artificial intelligence in resuscitation: a scoping review.复苏中的人工智能:一项范围综述。
Resusc Plus. 2025 May 3;24:100973. doi: 10.1016/j.resplu.2025.100973. eCollection 2025 Jul.
2
Artificial intelligence in cardiopulmonary resuscitation: Driving awareness and debunking myths.心肺复苏中的人工智能:提高认识与破除误解
Resuscitation. 2025 Mar;208:110539. doi: 10.1016/j.resuscitation.2025.110539. Epub 2025 Feb 12.
3
Quality of Layperson CPR Instructions From Artificial Intelligence Voice Assistants.人工智能语音助手提供的非专业心肺复苏指导的质量
JAMA Netw Open. 2023 Aug 1;6(8):e2331205. doi: 10.1001/jamanetworkopen.2023.31205.
4
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review.患者和公众对临床人工智能的态度:一项混合方法系统评价。
Lancet Digit Health. 2021 Sep;3(9):e599-e611. doi: 10.1016/S2589-7500(21)00132-1.
5
European Resuscitation Council Guidelines 2021: Basic Life Support.《2021年欧洲复苏委员会指南:基础生命支持》
Resuscitation. 2021 Apr;161:98-114. doi: 10.1016/j.resuscitation.2021.02.009. Epub 2021 Mar 24.