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大语言模型临床实践应用范围综述

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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.
A Scoping Review of the Application of Large Language Models in Clinical Practice
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 lit-erature related to the application of large language models in clinical practice,and the content of the included literature is extracted,sum-marized 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.

large language modelsartificial intelligence(AI)clinical practicescoping reviewChatGPT

施呈昊、屠馨怡、史佳伟、陈红爽、王琴潞、邹海欧

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中国医学科学院北京协和医学院护理学院 北京 100144

浙江大学医学院附属第二医院护理部 杭州 310009

大语言模型 人工智能 临床实践 范围综述 ChatGPT

2024

医学信息学杂志
中国医学科学院

医学信息学杂志

CSTPCD
影响因子:1.348
ISSN:1673-6036
年,卷(期):2024.45(9)
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