计算机科学与探索2025，Vol.19Issue(8)：2043-2056,14.DOI:10.3778/j.issn.1673-9418.2409076
大语言模型GPT在医疗文本中的应用综述
Review of Application of Large Language Models GPT in Medical Text
摘要
Abstract
Medical texts serve as a crucial medium for recording and conveying medical knowledge.However,with the rapid growth of medical data,traditional manual processing methods are increasingly unable to meet the demands for efficiency and accuracy.In recent years,large language models,represented by GPT(generative pre-trained transformer),have made significant breakthroughs in the field of natural language processing.With their powerful language understanding and generation capabilities,they offer new approaches for the efficient processing of medical texts.This paper introduces the core technical principles of GPT and focuses on its practical applications in five key areas:medical data processing,doctor-patient communication assistance,medical education support,disease prevention and management,and multimodal integration.It systematically summarizes the advantages GPT exhibits in medical text processing,particularly its high efficiency in information integration and rich medical knowledge base.Furthermore,this paper explores the challenges exposed in real-world applications,proposing feasible solutions and directions for technical optimization.Based on current technological trends,it also envisions the prospects of large language models in healthcare domain.关键词
大语言模型/医疗文本/GPT/自然语言处理Key words
large language models/medical text/GPT/natural language processing分类
信息技术与安全科学引用本文复制引用
田崇腾,刘静,王晓燕,李明..大语言模型GPT在医疗文本中的应用综述[J].计算机科学与探索,2025,19(8):2043-2056,14.基金项目
国家自然科学基金面上项目(82174528) （82174528）
山东省研究生教育优质课程和教学资源库建设项目(SDYKC20047,SDYAL2022041) （SDYKC20047,SDYAL2022041）
教育部产学合作协同育人项目(220606121142949).This work was supported by the General Program of National Natural Science Foundation of China(82174528),the Graduate Education Quality Course and Teaching Resource Library Construction Project of Shandong Province(SDYKC20047,SDYAL2022041),and the Industry-University Cooperation and Collaborative Education Project of Ministry of Education(220606121142949). （220606121142949）
