人工智能:解决复杂的环境健康问题的关键支点
Lei Huang1, Qiannan Duan2, Yuxin Liu3
1State Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing 210023, China; Basic Science Center for Energy and Climate Change, Beijing 100081, China.
Environment international
|March 23, 2025
概括
人工智能 (AI) 为复杂的环境健康 (EH) 挑战提供了强大的解决方案. 这篇评论探讨了人工智能.
科学领域:
- 环境健康科学 环境健康科学
- 计算生物学 计算生物学
- 公共卫生 公共卫生
背景情况:
- 环境健康 (EH) 研究传统上与复杂的问题作斗争,原因是解决多因素风险相关性的局限性.
- 人工智能 (AI) 对科学研究提出了一个变革性的方法,为解决复杂的EH问题提供了新的工具.
研究的目的:
- 审查人工智能在环境健康研究中的应用,潜力和挑战,重点关注化合物暴露.
- 探索AI在EH研究的四个关键阶段的作用:数据管理,危险识别,风险评估和管理.
主要方法:
- 文献综述专注于人工智能在环境健康中的应用.
- 分析AI在数据收集,融合,危险选,风险建模和管理方面的能力和局限性.
- 探索AI在解决环境健康中的复杂暴露场景方面的潜力.
主要成果:
- 人工智能加速创新,并为解决复杂的EH问题提供工具,克服传统方法的局限性.
- 在EH中实施AI的重大障碍包括模型通用性,数据隐私,算法透明度和道德考虑.
- 人工智能通过多模式数据融合来促进复杂暴露因素的多维模拟,以准确识别风险.
结论:
- 人工智能将成为准确识别环境健康风险和有效管理全球环境健康的重要工具.
- 未来的方向包括利用人工智能进行多维模拟和多模式数据融合,以解决复杂的暴露因素.
- 本综述为研究人员利用人工智能解决复杂的环境健康暴露问题提供了战略参考.
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