全面对话型人工智能支持公共卫生传播的时代
Emre Sezgin1,2, Ahmet Baki Kocaballi3
1The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, United States.
Journal of medical Internet research
|January 20, 2025
概括
通用对话型人工智能 (CAI) 为公共卫生沟通提供了一个强大的工具,特别是在紧急情况下. 它与消息应用程序的集成可以在规模上提供个性化的健康信息,改善可访问性和结果.
科学领域:
- 公共卫生 公共卫生
- 人工智能的人工智能
- 卫生沟通健康沟通
背景情况:
- 人工智能 (AI) 正在改变健康沟通,为公共卫生管理提供可扩展的解决方案.
- 在庞大的数据集上训练的对话式AI (CAI) 系统,为各种任务提供了类似人类的响应能力.
- 消息服务越来越多地利用人工智能进行健康干预.
研究的目的:
- 通过消息服务探索通用CAI在公共卫生沟通中的实用性和影响.
- 检查人工智能驱动的消息传递对个性化,可扩展和可访问的健康干预措施的优势.
- 为应对与人工智能在健康沟通中的挑战和伦理考虑.
主要方法:
- 对公共卫生信息传递服务中人工智能演变的审查.
- 分析通用CAI应用程序,包括大型语言模型和生成AI.
- 在COVID-19大流行期间CAI运营的案例检查.
主要成果:
- 消息平台中的通用CAI可以超过传统的信息检索系统.
- 人工智能驱动的消息提供了个性化,可扩展和可访问的健康干预措施.
- 重要挑战包括人工智能偏见,错误信息,隐私和监管需求.
结论:
- 建议在与公共卫生机构合作下,战略部署通用CAI.
- 多代理方法可以提高人工智能健康通信的可靠性和特异性.
- 需要进一步的研究和框架,以实现公平有效的AI增强公共卫生结果.
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