智能系统学报2025，Vol.20Issue(3)：530-547,18.DOI:10.11992/tis.202405003
医疗领域的大型语言模型综述
Survey of large language models in healthcare
摘要
Abstract
Deep learning(DL)is a popular research area in artificial intelligence.It simulates the data processing mech-anism of the human brain by constructing multilayer artificial neural networks.Large language models(LLMs)based on the DL architecture can understand and generate human language by analyzing enormous data without programming in-structions.Thus,LLMs are widely employed in various domains,such as natural language processing,computer vision,intelligent healthcare,and intelligent transportation.This article summarizes the application of LLMs in the healthcare sector,exploring their basic training processes,specific strategies for executing healthcare tasks,and their applications in specific healthcare scenarios.It also discusses the challenges of applying LLMs to the healthcare field,including the lack of transparency in decision-making processes,the accuracy of the output contents,and issues related to privacy and ethics.Thereafter,several strategies for addressing these issues are discussed.Finally,the future development trends of LLM in healthcare,as well as its criticality in promoting human health,are discussed.关键词
人工智能/深度学习/Transformer/大型语言模型/智慧医疗/数据分析/图像处理/计算机视觉Key words
artificial intelligence/deep learning/Transformer/large language model/intelligent healthcare/data analys-is/image processing/computer vision分类
信息技术与安全科学引用本文复制引用
肖建力,许东舟,王浩,刘敏,周雷,朱林,顾松..医疗领域的大型语言模型综述[J].智能系统学报,2025,20(3):530-547,18.基金项目
国家自然科学基金项目(61603257). （61603257）
