用生成性人工智能改变公共卫生实践
Monica Bharel1, John Auerbach2, Von Nguyen3
1Monica Bharel (mbharel@google.com), Google, Cambridge, Massachusetts.
Health affairs (Project Hope)
|June 3, 2024
概括
人工智能 (AI) 正在通过解决与流行病相关的差距和改进21世纪健康管理来改变公共卫生. 这项技术提供了增强沟通,优化运营和为卫生部门的决策产生见解的机会.
科学领域:
- 公共卫生 公共卫生
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 公共卫生实践正在不断发展,以应对COVID-19大流行所带来的挑战.
- 对21世纪的健康要求进行投资管理的需求越来越大.
- 人工智能 (AI) 的进步为公共卫生转型提供了重大机会.
研究的目的:
- 探索人工智能在公共卫生中的当前应用.
- 描述生成人工智能模型用于创建合成内容的能力.
- 检查AI在美国卫生部门内支持核心公共卫生功能方面的潜力.
主要方法:
- 在公共卫生中对人工智能应用的评论和审查.
- 对生成性AI能力 (图像,视频,音频,文本) 的分析.
- 检查AI在改善沟通,组织绩效和决策方面的作用.
主要成果:
- 人工智能为改善公共卫生沟通策略提供了短期的机会.
- 人工智能可以优化卫生部门内的组织绩效.
- 人工智能能够为数据驱动的公共卫生决策产生新的见解.
- 生成性AI模型可以产生多样化的合成数字内容.
结论:
- 人工智能为公共卫生实践带来了变革的潜力.
- 卫生部门可以利用人工智能来解决当前的缺陷并满足未来的健康需求.
- 仔细考虑挑战和风险对于在公共卫生中成功实施人工智能至关重要.
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