为了开发医疗保健聊天机器人服务（人工智能引导机器人），该服务使用大型语言模型进行实时对话，为患者提供准确的健康信息。为了提供准确和专业的医疗响应，我们集成了多个癌症实践指南。集成元数据集的大小为 117 万个代币。提取集成和分类的元数据，将其转换为文本，分割为特定字符长度，并使用嵌入模型进行矢量化。 AI 指南机器人是使用 Python 3.9 实现的。为了增强可扩展性并整合集成数据集，我们将 AI-guide 机器人与 OpenAI 和 LangChain 框架相结合。为了生成用户友好的对话，我们基于聊天生成预训练 Transformer (ChatGPT) 开发了一种语言模型，ChatGPT 是一种由 GPT-3.5 提供支持的交互式对话聊天机器人。 AI 指南机器人于 2023 年 9 月至 2024 年 1 月期间使用 ChatGPT3.5 实现。AI 指南机器人允许用户选择所需的癌症类型和对话交互语言。人工智能引导的机器人旨在扩展其功能以涵盖多种主要癌症类型。 AI 指导机器人的反应表现为 90.98 ± 4.02（通过对 Likert 分数求和得出）。AI 指导机器人可以快速、准确地为关心自身健康的癌症患者提供医疗信息。版权所有 © 2024。由 Elsevier B.V. 出版

To develop a healthcare chatbot service (AI-guided bot) that conducts real-time conversations using large language models to provide accurate health information to patients.To provide accurate and specialized medical responses, we integrated several cancer practice guidelines. The size of the integrated meta-dataset was 1.17 million tokens. The integrated and classified metadata were extracted, transformed into text, segmented to specific character lengths, and vectorized using the embedding model. The AI-guide bot was implemented using Python 3.9. To enhance the scalability and incorporate the integrated dataset, we combined the AI-guide bot with OpenAI and the LangChain framework. To generate user-friendly conversations, a language model was developed based on Chat-Generative Pretrained Transformer (ChatGPT), an interactive conversational chatbot powered by GPT-3.5. The AI-guide bot was implemented using ChatGPT3.5 from Sep. 2023 to Jan. 2024.The AI-guide bot allowed users to select their desired cancer type and language for conversational interactions. The AI-guided bot was designed to expand its capabilities to encompass multiple major cancer types. The performance of the AI-guide bot responses was 90.98 ± 4.02 (obtained by summing up the Likert scores).The AI-guide bot can provide medical information quickly and accurately to patients with cancer who are concerned about their health.Copyright © 2024. Published by Elsevier B.V.