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Innovative Use of Machine-Learning Algorithm Assistance to Rapidly Recognize the Presence of Sudden Cardiac Arrest and Initiate Life-Saving CPR Instructions During Conversations Between 9-1-1 Callers and Telecommunicators.

Innovative Use of Machine-Learning Algorithm Assistance to Rapidly Recognize the Presence of Sudden Cardiac Arrest and Initiate Life-Saving CPR Instructions During Conversations Between 9-1-1 Callers and Telecommunicators.
创新地使用机器学习算法辅助来快速识别心脏骤停的存在，并在 9-1-1 呼叫者和电信员之间的对话期间启动挽救生命的心肺复苏指令。
批准号：
487794
负责人：
Vaillancourt Christian
金额：
$1.4万
依托单位：
Ottawa Hospital Research Institute
依托单位国家：
加拿大
项目类别：
Miscellaneous Programs
财政年份：
2023
资助国家：
加拿大
项目状态：
已结题
起止时间：
2023-07-01 至 2024-07-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=487794&lang=en
关键词：
9-1-1 Telecommunicators Agonal Breathing Artificial Intelligence Commercial Planning And Viability Community Integration In Primary Cardiac Arrest Care Equitable Access To Health Care Systems Innovative Digital Solution Knowledge Exchange Stakehol

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英文摘要
Each year, there are 20,000 treatable out-of-hospital sudden cardiac arrests (SCA) in Canada. Bystander cardiopulmonary resuscitation (CPR) can nearly quadruple SCA survival but needs to be started within minutes. In most communities, less than 40% of vic
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Multi-Center Implementation of an Educational Program to Improve the Cardiac Arrest Diagnostic Accuracy of Ambulance Telecommunicators and Survival Outcomes for Sudden Cardiac Arrest Victims.
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