Jung Sungjae, Kim Siun, Yoo ByeongYeop, Park Minseon, Yoon Hyung-Jin
Department of Biomedical Engineering, Seoul National University Hospital, Seoul, Korea.
Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea.
Stud Health Technol Inform. 2025 May 15;327:1017-1018. doi: 10.3233/SHTI250534.
This paper introduces a voice-interactive chatbot designed to provide personalized health recommendations through a knowledge base built on validated medical literature. By leveraging 17 key health variables, the chatbot addresses approximately 150 million potential health scenarios, offering advice for personal health management. The system developed as an Android application, represents the initial phase of a broader project aimed at delivering evidence-based health management services. Future advancements will focus on replacing the current knowledge base with a knowledge graph and integrating large language models (LLMs) to enable more natural and contextual conversations in healthcare.
本文介绍了一种语音交互聊天机器人,该机器人旨在通过基于经过验证的医学文献构建的知识库提供个性化健康建议。通过利用17个关键健康变量,该聊天机器人可处理约1.5亿种潜在的健康情况,为个人健康管理提供建议。该系统作为一个安卓应用程序开发,代表了一个更广泛项目的初始阶段,该项目旨在提供基于证据的健康管理服务。未来的进展将集中在用知识图谱取代当前的知识库,并整合大语言模型,以便在医疗保健中实现更自然和上下文相关的对话。