人工智能在健康传播发展中的应用:一个范围审查
1Peter Faber Business School, Australian Catholic University, Brisbane, QLD, Australia.
Health marketing quarterly
|November 18, 2024
概括
本综述探讨了人工智能 (AI) 如何通过整合沟通和社会理论来改善健康行为干预. 一个新的模型,AI-ICM,为未来的研究和实践提供了路线图.
科学领域:
- 卫生沟通健康沟通
- 行为科学 行为科学
- 社会科学 社会科学 社会科学
- 人工智能的人工智能
背景情况:
- 健康行为干预往往缺乏理论基础.
- 人工智能 (AI) 提供了增强干预交付和参与的机会.
- 将人工智能与已建立的沟通,行为和社会理论相结合,对于最大化影响至关重要.
研究的目的:
- 探索人工智能与健康行为干预的沟通,行为和社会理论的整合.
- 识别人工智能驱动的健康行为研究中的当前应用和理论差距.
- 提出一种将人工智能进步与理论框架相结合的模型.
主要方法:
- 按照PRISMA指南进行系统范围审查.
- 搜索到2024年2月发布的文章.
- 包括来自13723篇选文章的28项研究.
主要成果:
- 聊天机器人和应用程序等人工智能驱动的工具用于各种健康问题,包括戒烟,糖尿病和心理健康.
- 研究涵盖了各种国际背景.
- 人工智能技术能力与干预中的理论整合之间存在很大的差距.
结论:
- 人工智能对改变健康行为有很大的潜力.
- 理论对齐对于有效的AI驱动干预至关重要.
- 拟议的AI影响通信模型 (AI-ICM) 为未来的研究和实践提供了一个框架.
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