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A nested model for AI design and validation.一种用于人工智能设计与验证的嵌套模型。
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A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare.值得信赖的人工智能事实核查：医疗保健领域人工智能产品缺乏透明度
Front Digit Health. 2024 Feb 20;6:1267290. doi: 10.3389/fdgth.2024.1267290. eCollection 2024.
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An intriguing vision for transatlantic collaborative health data use and artificial intelligence development.关于跨大西洋合作使用健康数据及开发人工智能的一个引人入胜的设想。
NPJ Digit Med. 2024 Jan 23;7(1):19. doi: 10.1038/s41746-024-01005-y.
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Combatting SARS-CoV-2 With Digital Contact Tracing and Notification: Navigating Six Points of Failure.利用数字接触者追踪和通知来对抗 SARS-CoV-2：应对六个失败点。
JMIR Public Health Surveill. 2023 Dec 4;9:e49560. doi: 10.2196/49560.
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Using artificial intelligence to improve public health: a narrative review.利用人工智能改善公共卫生：叙述性评论。
Front Public Health. 2023 Oct 26;11:1196397. doi: 10.3389/fpubh.2023.1196397. eCollection 2023.
6
Use of Artificial Intelligence Chatbots for Cancer Treatment Information.使用人工智能聊天机器人获取癌症治疗信息。
JAMA Oncol. 2023 Oct 1;9(10):1459-1462. doi: 10.1001/jamaoncol.2023.2954.
7
A privacy calculus model for contact tracing apps: Analyzing the use behavior of the German Corona-Warn-App with a longitudinal user study.用于接触者追踪应用程序的隐私权衡模型：通过纵向用户研究分析德国新冠警示应用程序的使用行为。
Comput Secur. 2023 Sep;132:103338. doi: 10.1016/j.cose.2023.103338. Epub 2023 Jun 14.
8
Bias in AI-based models for medical applications: challenges and mitigation strategies.基于人工智能的医学应用模型中的偏差：挑战与缓解策略。
NPJ Digit Med. 2023 Jun 14;6(1):113. doi: 10.1038/s41746-023-00858-z.
9
Rethinking global digital health and AI-for-health innovation challenges.重新思考全球数字健康与健康领域人工智能创新面临的挑战。
PLOS Glob Public Health. 2023 Apr 28;3(4):e0001844. doi: 10.1371/journal.pgph.0001844. eCollection 2023.
10
Ethical Implications of Artificial Intelligence in Population Health and the Public's Role in Its Governance: Perspectives From a Citizen and Expert Panel.人工智能在人口健康中的伦理影响及公众在其治理中的作用：来自公民和专家小组的观点。
J Med Internet Res. 2023 Apr 27;25:e44357. doi: 10.2196/44357.

The Way Forward to Embrace Artificial Intelligence in Public Health.

作者信息

Hattab Georges, Irrgang Christopher, Körber Nils, Kühnert Denise, Ladewig Katharina

机构信息

Georges Hattab, Christopher Irrgang, Nils Körber, Denise Kühnert, and Katharina Ladewig are with the Center for Artificial Intelligence in Public Health Research, Robert Koch Institute, Berlin, Germany. Georges Hattab is also with the Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.

出版信息

Am J Public Health. 2025 Feb;115(2):123-128. doi: 10.2105/AJPH.2024.307888. Epub 2024 Nov 21.

DOI:10.2105/AJPH.2024.307888
PMID:39571129
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11715578/
Abstract
摘要