Prompt-Eng: Healthcare Prompt Engineering: Revolutionizing Healthcare Applications with Precision Prompts

Author:

Ahmed Awais1ORCID,Hou Mengshu1ORCID,Xi Rui1ORCID,Zeng Xiaoyang1ORCID,Shah Syed Attique2ORCID

Affiliation:

1. University of Electronic Science and Technology of China, Chengdu, Sichuan, China

2. Birmingham City University, Birmingham, United Kingdom

Publisher

ACM

Reference21 articles.

1. Shuroug A Alowais, Sahar S Alghamdi, Nada Alsuhebany, Tariq Alqahtani, Abdulrahman I Alshaya, Sumaya N Almohareb, Atheer Aldairem, Mohammed Alrashed, Khalid Bin Saleh, Hisham A Badreldin, et al. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC medical education, 23(1):689, 2023.

2. Awais Ahmed, Rui Xi, Mengshu Hou, Syed Attique Shah, and Sufian Hameed. Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts. IEEE Access, 2023.

3. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

4. Awais Ahmed, Xiaoyang Zeng, Rui Xi, Mengshu Hou, and Syed Attique Shah. Med-prompt: A novel prompt engineering framework for medicine prediction on free-text clinical notes. Journal of King Saud University-Computer and Information Sciences, page 101933, 2024.

5. Large AI Models in Health Informatics: Applications, Challenges, and the Future

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. [PromptEng] First International Workshop on Prompt Engineering for Pre-Trained Language Models;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

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