围手术期AI聊天机器人（PEACH）的实际部署和评估：一种用于围手术期医学的大型语言模型聊天机器人

IF 6.9 1区医学 Q1 ANESTHESIOLOGY

Anaesthesia Pub Date : 2025-09-19 DOI:10.1111/anae.16755

Yu He Ke, Liyuan Jin, Kabilan Elangovan, Bryan Wen Xi Ong, Chin Yang Oh, Jacqueline Sim, Kenny Wei-Tsen Loh, Chai Rick Soh, Jonathan Ming Hua Cheng, Aaron Kwang Yang Lee, Daniel Shu Wei Ting, Nan Liu, Hairil Rizal Abdullah

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引用次数: 0

摘要

大型语言模型正在成为医疗保健领域的强大工具，特别是对于复杂的、特定于领域的任务。本研究描述了围手术期人工智能聊天机器人（PEACH）的发展和评估。它是通过将35个机构围手术期协议嵌入到一个安全的大型语言模型环境中，通过迭代的快速工程和内部测试来开发的，以确保临床相关性和准确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Real-world deployment and evaluation of PEri-operative AI CHatbot (PEACH): a large language model chatbot for peri-operative medicine

查看原文本刊更多论文

Real-world deployment and evaluation of PEri-operative AI CHatbot (PEACH): a large language model chatbot for peri-operative medicine

Large Language Models are emerging as powerful tools in healthcare, particularly for complex, domain-specific tasks. This study describes the development and evaluation of PEri-operative AI CHatbot (PEACH). It was developed by embedding 35 institutional peri-operative protocols into a secure large language model environment, with iterative prompt engineering and internal testing to ensure clinical relevance and accuracy.

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来源期刊

Anaesthesia 医学-麻醉学

CiteScore

21.20

自引率

9.30%

发文量

300

审稿时长

6 months

期刊介绍： The official journal of the Association of Anaesthetists is Anaesthesia. It is a comprehensive international publication that covers a wide range of topics. The journal focuses on general and regional anaesthesia, as well as intensive care and pain therapy. It includes original articles that have undergone peer review, covering all aspects of these fields, including research on equipment.