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Using Artificial Intelligence, Big Data and Imaging to Improve Stroke Risk Assessment and Management

Using Artificial Intelligence, Big Data and Imaging to Improve Stroke Risk Assessment and Management
利用人工智能、大数据和成像改善中风风险评估和管理
批准号：
453075
负责人：
Tsang Teresa S
金额：
$42.36万
依托单位：
University of British Columbia
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2021
资助国家：
加拿大
项目状态：
已结题
起止时间：
2021-09-01 至 2024-09-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=453075&lang=en
关键词：
Artificial Intelligence Echocardiography Imaging Biomarkers Machine Learning Risk Assessment Stroke

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中文摘要
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英文摘要
Identification of patients at increased risk for stroke is most often based on clinical factors including the age of the patient and the presence or absence of conditions such as abnormal heart rhythm, hypertension, diabetes, and heart failure. Risk asses
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