使用人工智能改善公共卫生:一个叙事审查
David B Olawade1, Ojima J Wada2, Aanuoluwapo Clement David-Olawade3
1Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, United Kingdom.
Frontiers in public health
|November 13, 2023
概括
人工智能 (AI) 正在改变公共卫生,有助于疾病预测和监测. 然而,有限的基础设施和数据隐私等挑战阻碍了该领域广泛采用人工智能.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 流行病学 流行病学
背景情况:
- 人工智能 (AI) 越来越多地被整合到医疗保健中,主要是在医学和行政领域.
- 最近的COVID-19大流行加速了在公共卫生中采用和探索AI应用的速度.
- 本文重点介绍了人工智能在公共卫生领域的近期进展和未来挑战.
研究的目的:
- 审查近期在公共卫生部门的人工智能应用方面的进展.
- 识别和讨论阻碍人工智能在公共卫生中的普遍实施的潜在挑战和局限性.
主要方法:
- 人工智能在公共卫生中的应用文献综述.
- 分析AI在各种公共卫生功能中的作用.
- 在公共卫生中实施人工智能的障碍的识别.
主要成果:
- 人工智能已经证明在空间建模,风险预测,错误信息控制,监视,疾病预测,流行病建模和健康诊断方面具有实用性.
- 主要挑战包括有限的基础设施,缺乏技术专业知识,数据不足以及道德/隐私问题.
结论:
- 人工智能为提高公共卫生服务和响应能力提供了巨大的潜力.
- 解决基础设施,数据和道德挑战对于公众健康中公平有效地整合人工智能至关重要.
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