开发一个神经外科聊天机器人使用大型语言模型与检索增强生成
Shaowei Guan1, Chung Man Ho2, Prudence Kwan-Lam Mok3
1School of Nursing, The Hong Kong Polytechnic University, Hong Kong.
Studies in health technology and informatics
|August 8, 2025
概括
这项研究介绍了NeuroBot,一个用于神经外科患者教育的AI聊天机器人. NeuroBot使用先进的语言模型提供准确和相关的信息,增强患者的理解和决策.
科学领域:
- 神经外科 神经外科
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 在神经外科手术中,患者教育对于做出明智决策至关重要.
- 目前的方法可能缺乏可访问性或个性化.
- 对于创新的教育工具的需求正在增加.
研究的目的:
- 介绍NeuroBot,一个人工智能驱动的聊天机器人用于神经外科患者教育.
- 利用大型语言模型 (LLM) 与检索增强生成 (RAG) 实现准确的信息传递.
- 评估NeuroBot在响应患者询问方面的表现.
主要方法:
- 开发了NeuroBot,一个使用LLMs和RAG的聊天机器人.
- 将一个精心策划的神经外科资源知识库集成到NeuroBot.
- 对NeuroBot的准确性,相关性和完整性进行了评估.
主要成果:
- 在评估中,NeuroBot表现出很高的表现.
- 在准确性 (5.28/6) 和相关性 (5.46/6) 中获得了高分.
- 在完整性方面获得了很高的分数 (2.61/3).
结论:
- NeuroBot显示了改变神经外科患者教育的巨大潜力.
- 基于LLM的聊天机器人可以提供个性化和可访问的医疗保健通信.
- 该技术可以为患者提供可靠的神经外科信息.
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