A Scoping Review of the Application of Large Language Models in Clinical Practice
10.3969/j.issn.1673-6036.2024.09.003
- VernacularTitle:大语言模型临床实践应用范围综述
- Author:
Chenghao SHI
1
;
Xinyi TU
;
Jiawei SHI
;
Hongshuang CHEN
;
Qinlu WANG
;
Haiou ZOU
Author Information
1. 中国医学科学院北京协和医学院护理学院 北京 100144
- Keywords:
large language models;
artificial intelligence(AI);
clinical practice;
scoping review;
ChatGPT
- From:
Journal of Medical Informatics
2024;45(9):19-26
- CountryChina
- Language:Chinese
-
Abstract:
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.
