协和医学杂志2025，Vol.16Issue(6)：1363-1370,8.DOI:10.12290/xhyxzz.2025-0758
人工智能在药物不良反应监测中的作用:现状与挑战
The Role of Artificial Intelligence in Adverse Drug Reaction Monitoring:Current Status and Challenges
摘要
Abstract
Adverse drug reactions(ADRs)significantly impact clinical medication safety.The timely identification and prediction of ADRs rely on the efficient analysis of real-world data,such as electronic health records,social media,and spontaneous reporting databases.In recent years,the rapid advancement of artificial intelligence,particularly large language models,in natural language processing,causal reasoning,and complex data mining has provided new technological means for real-time ADRs monitoring and individualized prediction.This paper summarizes the latest research achievements in AI-driven ADRs monitoring.Focusing on diverse data sources,including structured databases and electronic health records,it elaborates on the advantages and challenges of AI in ADRs event extraction,relationship identification,causal analysis,and risk prediction.The aim is to provide a theoretical reference for constructing more intelligent and efficient ADRs monitoring systems.关键词
人工智能/自然语言处理/药物安全性/药物警戒/药物不良反应Key words
artificial intelligence/natural language processing/drug safety/pharmacovigilance/adverse drug reaction分类
医药卫生引用本文复制引用
魏宇歌,李荣浩,孙琛懿,朱丛敏,陈挺,杨红,刘红蕾..人工智能在药物不良反应监测中的作用:现状与挑战[J].协和医学杂志,2025,16(6):1363-1370,8.基金项目
国家自然科学基金(T2541010) （T2541010）
北京市自然科学基金(7242264,7252113,L246059) （7242264,7252113,L246059）
国家重点研发计划(2023YFC2507302) （2023YFC2507302）
北京市教育委员会科研计划项目(KM202310025020) National Natural Science Foundation of China(T2541010) （KM202310025020）
Beijing Natural Science Foundation(7242264,7252113,L246059) （7242264,7252113,L246059）
National Key Research and Development Program of China(2023YFC2507302) （2023YFC2507302）
R&D Program of Beijing Municipal Education Commission(KM202310025020) （KM202310025020）
