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Safeguards for the use of artificial intelligence and machine learning in global health.

作者信息

Paul Amy K, Schaefer Merrick

机构信息

United States Agency for International Development, 1300 Pennsylvania Ave NW, Washington, DC, 20004, United States of America (USA).

U.S. Global Development Lab, USAID, Washington, DC, USA.

出版信息

Bull World Health Organ. 2020 Apr 1;98(4):282-284. doi: 10.2471/BLT.19.237099. Epub 2020 Jan 27.

DOI:10.2471/BLT.19.237099
PMID:32284653
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7133486/
Abstract
摘要

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Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?人工智能与全球健康：人工智能如何助力资源匮乏地区的健康事业？
BMJ Glob Health. 2018 Aug 29;3(4):e000798. doi: 10.1136/bmjgh-2018-000798. eCollection 2018.
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Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data.利用电子健康记录数据的机器学习算法中的潜在偏差。
JAMA Intern Med. 2018 Nov 1;178(11):1544-1547. doi: 10.1001/jamainternmed.2018.3763.
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Machine Learning and Health Care Disparities in Dermatology.皮肤病学中的机器学习与医疗保健差异
JAMA Dermatol. 2018 Nov 1;154(11):1247-1248. doi: 10.1001/jamadermatol.2018.2348.
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Prioritizing integrated mHealth strategies for universal health coverage.优先考虑综合移动健康策略，以实现全民健康覆盖。
Science. 2014 Sep 12;345(6202):1284-7. doi: 10.1126/science.1258926.
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Trust and the development of health care as a social institution.信任与作为社会制度的医疗保健的发展。
Soc Sci Med. 2003 Apr;56(7):1453-68. doi: 10.1016/s0277-9536(02)00142-9.
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Health service coverage and its evaluation.卫生服务覆盖范围及其评估。
Bull World Health Organ. 1978;56(2):295-303.