📄 中文摘要
人乳头瘤病毒（HPV）疫苗犹豫在日本等国家构成了重大公共卫生挑战，尤其是在2013年至2021年间日本暂停了主动疫苗接种推荐。社交媒体上的错误信息加剧了信息鸿沟，传统方法无法同时处理个体咨询和监测群体层面的讨论。本研究旨在开发一种双用途的人工智能代理系统，通过对话界面提供经过验证的HPV疫苗信息，同时基于用户互动和社交媒体生成医疗机构的分析报告。系统包括：整合学术论文、政府来源、新闻媒体和社交媒体的向量数据库；采用ReAct代理架构的检索增强生成聊天机器人，跨五个知识源进行多工具协调；以及自动报告生成系统，包含新闻分析、研究综合、社交媒体情感分析和用户互动模式识别模块。性能评估采用0-5分制。单轮评估中，聊天机器人在相关性（4.83）、路由（4.89）、参考质量（4.50）、正确性（4.90）和专业身份（4.88）方面均表现优异（总体4.80）。多轮评估得分更高：上下文保留（4.94）、主题连贯性（5.00）和总体（4.98）。报告生成系统在完整性（4.00-5.00）、正确性（4.00-5.00）和有用性（3.67-5.00）方面表现良好，所有时期的参考有效性均为5.00。本研究展示了双向HPV疫苗沟通的集成人工智能代理系统的可行性，其架构支持带有来源标注的验证信息传递，同时提供系统的公共话语分析，并具有可转移的框架以适应其他医疗场景。
📄 English Summary
Japanese AI Agent System on Human Papillomavirus Vaccination: System Design
Human papillomavirus (HPV) vaccine hesitancy poses significant public health challenges, particularly in Japan where proactive vaccination recommendations were suspended from 2013 to 2021. The resulting information gap is exacerbated by misinformation on social media, and traditional methods cannot simultaneously address individual queries while monitoring population-level discourse. This study aimed to develop a dual-purpose AI agent system that provides verified HPV vaccine information through a conversational interface while generating analytical reports for medical institutions based on user interactions and social media. The system comprises: a vector database integrating academic papers, government sources, news media, and social media; a Retrieval-Augmented Generation chatbot using ReAct agent architecture with multi-tool orchestration across five knowledge sources; and an automated report generation system with modules for news analysis, research synthesis, social media sentiment analysis, and user interaction pattern identification. Performance was assessed using a 0-5 scoring scale. For single-turn evaluation, the chatbot achieved mean scores of 4.83 for relevance, 4.89 for routing, 4.50 for reference quality, 4.90 for correctness, and 4.88 for professional identity (overall 4.80). Multi-turn evaluation yielded higher scores: context retention 4.94, topic coherence 5.00, and overall 4.98. The report generation system achieved completeness 4.00-5.00, correctness 4.00-5.00, and helpfulness 3.67-5.00, with reference validity 5.00 across all periods. This study demonstrates the feasibility of an integrated AI agent system for bidirectional HPV vaccine communication. The architecture enables verified information delivery with source attribution while providing systematic public discourse analysis, with a transferable framework for adaptation to other medical contexts.