ShanghaiTech University Knowledge Management System
Prompt Engineering for Healthcare: Methodologies and Applications | |
Wang, Jiaqi1; Shi, Enze1; Yu, Sigang1; Wu, Zihao3; Ma, Chong2; Dai, Haixing3; Yang, Qiushi10; Kang, Yanqing1; Wu, Jinru1; Hu, Huawen1; Yue, Chenxi1; Zhang, Haiyang1; Liu, Yiheng12; Pan, Yi13,14; Liu, Zhengliang3; Sun, Lichao4; Li, Xiang5; Ge, Bao12; Jiang, Xi; Zhu, Dajiang6; Yuan, Yixuan11; Shen, Dinggang7,8,9 ![]() | |
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 |
DOI | arXiv: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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