Prompt Engineering for Healthcare: Methodologies and Applications
2023-04-28
状态已发表
摘要

This review will introduce the latest advances in prompt engineering in the field of natural language processing (NLP) for the medical domain. First, we will provide a brief overview of the development of prompt engineering and emphasize its significant contributions to healthcare NLP applications such as question-answering systems, text summarization, and machine translation. With the continuous improvement of general large language models, the importance of prompt engineering in the healthcare domain is becoming increasingly prominent. The aim of this article is to provide useful resources and bridges for healthcare NLP researchers to better explore the application of prompt engineering in this field. We hope that this review can provide new ideas and inspire ample possibilities for research and application in medical NLP.

关键词Prompt engineering Healthcare Natural language processing Medical application
语种英语
DOIarXiv:2304.14670
相关网址查看原文
出处Arxiv
收录类别PPRN.PPRN
WOS记录号PPRN:66258734
WOS类目Computer Science, Artificial Intelligence
资助项目Faculty Construction Project["22SH0201178","62276050","G2023WD0146"] ; Foundational Research in Specialized Disciplines under Grant["62001410","23SH0201228"] ; National Natural Science Foundation of China[61976131]
文献类型预印本
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/348344
专题生物医学工程学院
生物医学工程学院_PI研究组_沈定刚组
通讯作者Zhang, Shu
作者单位
1.Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Peoples R China
2.Northwestern Polytech Univ, Sch Automat, Xian 710072, Peoples R China
3.Univ Georgia, Sch Comp, Athens, GA 30602, USA
4.Lehigh Univ, Dept Comp Sci & Engn, Bethlehem, PA 18015, USA
5.Harvard Med Sch, Massachusetts Gen Hosp, Dept Radiol, Boston, MA 02115, USA
6.Univ Texas Arlington, Dept Comp Sci & Engn, Arlington, TX 76019, USA
7.ShanghaiTech Univ, Sch Biomed Engn, Shanghai 201210, Peoples R China
8.Shanghai United Imaging Intelligence Co Ltd, Shanghai 200230, Peoples R China
9.Shanghai Clin Res & Trial Ctr, Shanghai 201210, Peoples R China
10.City Univ Hong Kong, Dept Elect Engn, Hong Kong 999077, Peoples R China
11.Chinese Univ Hong Kong, Dept Elect Engn, Hong Kong 999077, Peoples R China
12.Shaanxi Normal Univ, Sch Phys & Informat Technol, Xian 710119, Peoples R China
13.Univ Elect Sci & Technol China, Sch Glasgow Coll, Chengdu 611731, Peoples R China
14.Univ Elect Sci & Technol China, Sch Life Sci & Technol, Chengdu 611731, Peoples R China
推荐引用方式
GB/T 7714
Wang, Jiaqi,Shi, Enze,Yu, Sigang,et al. Prompt Engineering for Healthcare: Methodologies and Applications. 2023.
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