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利用生成式人工智能改变公共卫生实践。

Transforming Public Health Practice With Generative Artificial Intelligence.

机构信息

Monica Bharel (

John Auerbach, ICF, Reston, Virginia.

出版信息

Health Aff (Millwood). 2024 Jun;43(6):776-782. doi: 10.1377/hlthaff.2024.00050.

Abstract

Public health practice appears poised to undergo a transformative shift as a result of the latest advancements in artificial intelligence (AI). These changes will usher in a new era of public health, charged with responding to deficiencies identified during the COVID-19 pandemic and managing investments required to meet the health needs of the twenty-first century. In this Commentary, we explore how AI is being used in public health, and we describe the advanced capabilities of generative AI models capable of producing synthetic content such as images, videos, audio, text, and other digital content. Viewing the use of AI from the perspective of health departments in the United States, we examine how this new technology can support core public health functions with a focus on near-term opportunities to improve communication, optimize organizational performance, and generate novel insights to drive decision making. Finally, we review the challenges and risks associated with these technologies, offering suggestions for health officials to harness the new tools to accomplish public health goals.

摘要

由于人工智能(AI)的最新进展,公共卫生实践似乎即将发生变革。这些变化将开启公共卫生的新时代,负责应对 COVID-19 大流行期间发现的不足,并管理满足 21 世纪健康需求所需的投资。在这篇评论中,我们探讨了人工智能在公共卫生中的应用,并描述了生成式 AI 模型的先进功能,这些模型能够生成图像、视频、音频、文本和其他数字内容等合成内容。从美国卫生部门的角度来看待人工智能的使用,我们研究了这项新技术如何通过关注近期改善沟通、优化组织绩效和产生新见解以推动决策的机会,来支持核心公共卫生功能。最后,我们审查了这些技术相关的挑战和风险,并为卫生官员提供了利用新工具来实现公共卫生目标的建议。

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