人工智能和传染病:研究,公共卫生和临床实践的基于证据的概念框架
Anna Odone1, Chiara Barbati2, Silvia Amadasi3
1School of Public Health, Department of Public Health, Experimental, and Forensic Medicine, University of Pavia, Pavia, Italy; Medical Direction, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
The Lancet. Infectious diseases
|September 19, 2025
概括
人工智能 (AI) 通过加强疫情检测和临床护理,可以显著改善传染病的预防和管理. 这一框架概述了人工智能.
科学领域:
- 传染性疾病 传染性疾病
- 公共卫生 公共卫生
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 准备改变医疗保健,人们对其在传染病预防和管理方面的应用越来越感兴趣.
- 人工智能为改善疫情检测,临床管理和感染控制策略提供了机会.
- 这篇论文是专注于人工智能和传染病的系列文章的一部分.
研究的目的:
- 为应用人工智能在传染病研究,公共卫生和临床实践中提出一个概念框架.
- 为传染病预防和管理提供当前和未来人工智能应用的概述.
- 探索AI在这个领域实施的潜力,证据,例子和障碍.
主要方法:
- 开发一个概念框架,整合人工智能模型和数据源 (病原体,宿主,环境).
- 在研究,公共卫生和临床环境中确定AI应用的关键领域.
- 审查现有的文献,实验证据和现实世界的实施例子.
主要成果:
- 人工智能在传染病管理的各个方面都有很大的潜力.
- 该框架确定了人工智能可以有效应用的特定领域.
- 附带论文将深入研究诊断和抗菌素耐药性的AI.
结论:
- 人工智能对加强传染病预防和管理具有重大前景.
- 一个全面的框架对于引导人工智能实施至关重要.
- 解决技术,伦理和政策障碍对于实现人工智能的全部潜力至关重要.
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