摘要
综述了大语言模型在医学领域的研究进展、应用现状、面临的挑战及未来发展方向。文章梳理了大语言模型的概念和发展历程,概述了其在医学领域应用的技术原理,在医疗实践、医学教育等场景中的应用情况,探讨了医学大语言模型的未来发展方向,及其面临的隐私和安全问题、数据集规模等挑战。
This paper reviews the research progress,current application status,challenges and future development direction of large language models in the medical field.It outlines the concept and development history of large language models,summarizes the technical principles of their applications in the medical field,and describes their applications in various medical scenarios such as medical practice and medical education.This paper also explores the future development directions of medical large language models and discusses the challenges faced such as privacy and security issues,as well as the scale of datasets.
作者
刘泓泽
王耀国
唐圣晟
胡振生
杨瑞
周毅
LIU Hongze;WANG Yaoguo;TANG Shengsheng;HU Zhensheng;YANG Rui;ZHOU Yi(Zhongshan School of Medicine,Sun Yat-sen University,Guangzhou 510080,Guangdong Province,China;School of Public Health,Xinjiang Medical University)
出处
《中国数字医学》
2024年第8期1-7,13,共8页
China Digital Medicine
基金
国家重点研发计划项目(2022YFC3601600)
广东省自然科学基金项目(2024A1515011989)
广州市科技计划项目(202206010028)。
关键词
医学大语言模型
生成式人工智能
多模态大模型
Medical large language model
Generative AI
Multimodal large language model