摘要
药物不良反应(adverse drug reactions,ADR)是全球重要公共卫生问题,其在我国发生率及经济成本明显上升。传统ADR监测依赖自发报告系统,存在延迟及数据缺失等问题。人工智能(artificial intelligence,AI)技术的发展为ADR监测提供新方案,能提高效率及准确性。该文综述AI核心技术及应用现状,重点阐述其在ADR预警中的应用场景及面临的挑战,旨在为AI辅助ADR工作提供参考。
Adverse drug reactions(ADR)is a significant global public health concern,with notably increasing incidence rates and economic costs in China.Traditional ADR surveillance relying on spontaneous reporting systems suffers from delays and data incompleteness.The advancement of artificial intelligence(AI)technologies offers innovative solutions for ADR monitoring,enhancing efficiency and accuracy.This article reviewed the core technologies and current application status of AI,focusing on elucidating implementation scenarios and challenges in ADR early warning systems,aiming to provide references for AI-assisted ADR management strategies.
作者
马红玲
斯日古楞
MA Hongling;Siri Guleng(Department of Pharmacy,Inner Mongolia Autonomous Region Peoples Hospital,Hohhot O10017,Inner Mongolia Autonomous Region,China)
出处
《世界临床药物》
2025年第11期1091-1096,1105,共7页
World Clinical Drug
关键词
人工智能
药物不良反应
不良反应预警
artificial intelligence
adverse drug reactions
adverse reaction warning
