广西科学2025，Vol.32Issue(1)：88-95,8.DOI:10.13656/j.cnki.gxkx.20250521.010
大语言模型与多模态模型在临床医学中的应用与挑战
Application and Challenges of Large Language Models and Mul-timodal Models in Clinical Medicine
摘要
Abstract
Large Language Models(LLMs)and Multimodal Models(MMLs)integrate text,images,and audio data to provide innovative technical support for clinical diagnosis,personalized treatment,and chronic disease management.The technical foundations of LLMs and MMLs and their applications in clinical medicine,inclu-ding clinical diagnosis and decision support,personalized treatment,and chronic disease management,are sys-tematically reviewed.The potential and limitations of LLMs and MMLs in enhancing diagnostic accuracy,op-timizing treatment plans,and improving patient health management are explored.Furthermore,the technical challenges faced by LLMs and MMLs in the medical domain,such as limited generalization capability,issues with interpretability and transparency,risks related to privacy protection and data security,and compatibility challenges with existing medical systems,are examined.These challenges are highlighted as key barriers to the implementation and widespread adoption of these technologies.Finally,the future directions in model op-timization,data integration,privacy protection are prospected,and it is proposed that technological innovation and multidisciplinary collaboration are needed in advancing the application of Artificial Intelligence(AI)in medicine.The paper provides a reference for improving healthcare service efficiency and quality.关键词
大语言模型/多模态模型/临床大数据/临床辅助决策/个性化医疗Key words
Large Language Models(LLMs)/Multimodal Models(MMLs)/clinical big data/clinical decision support/personalized medicine引用本文复制引用
邹源,谈玉平..大语言模型与多模态模型在临床医学中的应用与挑战[J].广西科学,2025,32(1):88-95,8.基金项目
广西高校中青年教师科研基础能力提升项目(2022KY0093)和广西壮族自治区卫生健康委西医课题(Z-A20230708,Z-A20240684)资助. （2022KY0093）
