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.

翻译：本综述将介绍自然语言处理领域中提示工程在医学领域的最新进展。首先，我们将简要概述提示工程的发展历程，并着重阐释其在医疗NLP应用中的显著贡献，例如问答系统、文本摘要和机器翻译。随着通用大语言模型的持续改进，提示工程在医疗健康领域的重要性日益凸显。本文旨在为医疗NLP研究者提供有益资源与桥梁，以更好地探索提示工程在该领域的应用。我们期望本综述能为医学NLP的研究与应用提供新思路，并激发更多可能性。