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Using locally developed computer-assisted detection to promote social justice for a population with a high burden of lung disease: A participatory equity-sensitive approach

Using locally developed computer-assisted detection to promote social justice for a population with a high burden of lung disease: A participatory equity-sensitive approach
使用当地开发的计算机辅助检测来促进肺病高负担人群的社会正义：一种参与性公平敏感方法
批准号：
488683
负责人：
Spiegel Jerry M
金额：
$46.53万
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：
2023
资助国家：
加拿大
项目状态：
未结题
起止时间：
2023-09-01 至 2026-09-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=488683&lang=en
关键词：
Artificial Intelligence Computer-Assisted Detection Global Health Equity Implementation Mining Mixed-Methods Tuberculosis

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中文摘要
翻译
尽管人工智能现在被广泛用于改善健康，但在利用创新为最边缘化人群服务方面仍存在挑战。世博会称，南非金矿工人的结核病发病率是世界上最高的
英文摘要
Although artificial intelligence (AI) is now widely being used to improve health, there are challenges in harnessing innovation for those most marginalized. Workers in South Africa's gold mines have had the world's highest tuberculosis (TB) rates, as expo
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海外基金