环境和人类健康中的人工智能:进展,机遇和挑战
Dongyang Han1, Yanyi Xu1, Luofei Lin2
1School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
Current environmental health reports
|November 16, 2025
概括
人工智能 (AI) 提供了研究环境健康和行星健康的新方法. 本综述提出了一个评估人工智能的框架.
科学领域:
- 环境健康科学 环境健康科学
- 星球健康 星球健康
- 人工智能应用的人工智能应用.
背景情况:
- 环境是影响人类福祉和地球健康的关键因素.
- 人工智能 (AI) 越来越多地应用于环境健康研究,但缺乏统一的评估框架.
- 评估环境健康影响对于理解地球健康挑战至关重要.
研究的目的:
- 建议在环境健康研究中对人工智能的统一评估框架.
- 弥合当前人工智能环境健康评估方法的差距.
- 综合人工智能的创新,应用和趋势,以促进环境健康.
主要方法:
- 对环境健康中人工智能应用的综合文献审查.
- 在环境健康研究连续的方法创新的综合.
- 分析AI在暴露建模,健康结果评估和因果推理中的作用.
主要成果:
- 人工智能提高了环境健康研究中的准确性,可扩展性和因果关系理解.
- 拟议的框架整合了人工智能应用,从暴露评估到健康结果.
- 确定了该领域的新兴趋势和创新的AI方法.
结论:
- 统一的AI评估框架对于推进环境健康和行星健康战略至关重要.
- 人工智能在解决复杂的环境健康问题方面具有显著的协同作用潜力.
- 该框架支持对行星健康倡议的知情决策.
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