摘要
目的/意义对大语言模型在临床实践中的应用情况进行范围综述,为其推广提供参考。方法/过程检索PubMed、Embase、万方和CNKI数据库,筛选大语言模型应用于临床实践的相关文献,对纳入文献进行内容提取、汇总和分析。结果/结论大语言模型在提供治疗建议、辅助疾病诊断、健康宣教、分析文本影像资料等方面具有应用价值,然而在答案正确率、个案化等方面的表现不尽如人意。总体来说,大语言模型在临床实践中展现出显著潜力,但仍须采取必要的措施以把控应用风险、确认适用范围。
Purpose/Significance The scoping review summarizes the application of large language models in clinical practice,and provides references for their promotion.Method/Process PubMed,Embase,Wanfang and CNKI databases are searched to screen the literature related to the application of large language models in clinical practice,and the content of the included literature is extracted,summarized and analyzed.Result/Conclusion Large language models have application value in providing treatment suggestions,assisting disease diagnosis,health education,analyzing text image data,etc.However,their performance in answer accuracy and individualization is not satisfactory.In general,large language models show significant potential in clinical practice,but necessary measures must be taken to control the application risks and confirm the scope of application.
作者
施呈昊
屠馨怡
史佳伟
陈红爽
王琴潞
邹海欧
SHI Chenghao;TU Xinyi;SHI Jiawei;CHEN Hongshuang;WANG Qinlu;ZOU Haiou(School of Nursing,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100144,China;Department of Nursing,the Second Affiliated Hospital,Zhejiang University School of Medicine,Hangzhou 310009,China)
出处
《医学信息学杂志》
CAS
2024年第9期19-26,共8页
Journal of Medical Informatics
关键词
大语言模型
人工智能
临床实践
范围综述
ChatGPT
large language models
artificial intelligence(AI)
clinical practice
scoping review
ChatGPT