摘要
本文研究人工智能在药物不良反应管理中的应用研究进展,为药物不良反应的预测与应对提供参考。应用文献综述法,总结人工智能机器学习、深度学习和大语言模型等在药物研发、临床监测、上报系统以及患者教育环节中应用技术及应用,探讨其研究现状和发展方向。人工智能在药物不良反应中起到预测与监控作用,可以提高疾病治疗的安全性和耐受性,改善患者预后。同时,为了更好地发挥人工智能在药物不良反应管理中的作用,在多源数据集成、个性化预测以及数据集开放上仍需要进一步完善。
This study explores the application and progress of artificial intelligence in the management of adverse drug reactions,providing reference for the prediction and response of adverse drug reactions.Using the literature review method,this paper summarizes the application technologies and directions of artificial intelligence machine learning,deep learning,and big language models in drug development,clinical monitoring,reporting systems,and patient education,and explores their research status and development directions.Artificial intelligence plays a predictive and monitoring role in adverse drug reactions,which can improve the safety and tolerability of disease treatment and improve patient prognosis.Meanwhile,to better leverage the role of artificial intelligence in managing adverse drug reactions,further improvements are needed in multisource data integration,personalized prediction,and dataset accessibility.
作者
李明
熊晓敏
刘猛
LI Ming;XIONG Xiaomin;LIU Meng(School of Medical Management,Tsinghua University,Beijing 100084,China;Department of Breast Surgery,Cancer Hospital of Chongqing University,Chongqing 400030,China;Department of Oncology,China-Japan Friendship Hospital,Beijing 100029,China)
出处
《临床药物治疗杂志》
2024年第12期1-5,共5页
Clinical Medication Journal
基金
中日友好医院横向课题(2022-HX-63)。
关键词
人工智能
药物不良反应
深度学习
机器学习
自然语言处理
artificial intelligence
adverse drug reaction
deep learning
machine learning
natural language processing
