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Algorithmic bias in public health AI: a silent threat to equity in low-resource settings.

作者信息

Joseph Jeena

机构信息

Department of Computer Applications, Marian College Kuttikkanam Autonomous, Kuttikkanam, Kerala, India.

出版信息

Front Public Health. 2025 Jul 23;13:1643180. doi: 10.3389/fpubh.2025.1643180. eCollection 2025.

DOI:10.3389/fpubh.2025.1643180
PMID:40771228
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12325396/
Abstract
摘要

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本文引用的文献

1
Synthetic Data in Healthcare and Drug Development: Definitions, Regulatory Frameworks, Issues.医疗保健与药物研发中的合成数据:定义、监管框架、问题
CPT Pharmacometrics Syst Pharmacol. 2025 May;14(5):840-852. doi: 10.1002/psp4.70021. Epub 2025 Apr 7.
2
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations.应对健康数据集中的算法偏差并提高透明度:“携手同行”共识建议
Lancet Digit Health. 2025 Jan;7(1):e64-e88. doi: 10.1016/S2589-7500(24)00224-3. Epub 2024 Dec 18.
3
Transforming Healthcare in Low-Resource Settings With Artificial Intelligence: Recent Developments and Outcomes.利用人工智能改变资源匮乏地区的医疗保健:最新进展与成果
Public Health Nurs. 2025 Mar-Apr;42(2):1017-1030. doi: 10.1111/phn.13500. Epub 2024 Dec 4.
4
Bias in medical AI: Implications for clinical decision-making.医学人工智能中的偏差:对临床决策的影响。
PLOS Digit Health. 2024 Nov 7;3(11):e0000651. doi: 10.1371/journal.pdig.0000651. eCollection 2024 Nov.
5
Harnessing AI for public health: India's roadmap.利用人工智能促进公共卫生:印度的路线图。
Front Public Health. 2024 Sep 27;12:1417568. doi: 10.3389/fpubh.2024.1417568. eCollection 2024.
6
Empowering nurses to champion Health equity & BE FAIR: Bias elimination for fair and responsible AI in healthcare.赋予护士权力,倡导健康公平并做到公平公正:消除医疗保健中人工智能的偏见,实现公平且负责任的人工智能。
J Nurs Scholarsh. 2025 Jan;57(1):130-139. doi: 10.1111/jnu.13007. Epub 2024 Jul 29.
7
Use of artificial intelligence to address health disparities in low- and middle-income countries: a thematic analysis of ethical issues.利用人工智能解决低收入和中等收入国家的健康差距:伦理问题的主题分析
Public Health. 2024 Sep;234:77-83. doi: 10.1016/j.puhe.2024.05.029. Epub 2024 Jul 3.
8
Development and preliminary testing of Health Equity Across the AI Lifecycle (HEAAL): A framework for healthcare delivery organizations to mitigate the risk of AI solutions worsening health inequities.人工智能全生命周期健康公平性(HEAAL)的开发与初步测试:一个供医疗服务组织减轻人工智能解决方案加剧健康不平等风险的框架。
PLOS Digit Health. 2024 May 9;3(5):e0000390. doi: 10.1371/journal.pdig.0000390. eCollection 2024 May.
9
Achieving health equity through conversational AI: A roadmap for design and implementation of inclusive chatbots in healthcare.通过对话式人工智能实现健康公平:医疗保健领域包容性聊天机器人的设计与实施路线图。
PLOS Digit Health. 2024 May 2;3(5):e0000492. doi: 10.1371/journal.pdig.0000492. eCollection 2024 May.
10
Understanding and Mitigating Bias in Imaging Artificial Intelligence.理解和减轻成像人工智能中的偏见。
Radiographics. 2024 May;44(5):e230067. doi: 10.1148/rg.230067.