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
• 起止时间: 2023-07-01 至 2024-07-01
• 项目状态: 已结题
• 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

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

在加拿大，每年有2万例可治疗的院外心脏骤停(SCA)。旁观者心肺复苏术(CPR)可以使SCA存活率增加近四倍，但需要在几分钟内开始。在大多数社区，只有不到40%的受害者