用大模型打造可信赖的性与生殖健康聊天机器人
SARHAchat: An LLM-Based Chatbot for Sexual and Reproductive Health Counseling
- 基于大语言模型构建，融合医学知识与共情对话能力
- 在避孕咨询中准确率高，对话自然流畅无幻觉
- 适合医疗教育、心理健康支持场景，关注用户隐私
尽管人工智能在医疗领域展现潜力，现有对话系统在性与生殖健康（SRH）等复杂敏感领域仍表现不佳，常出现幻觉且缺乏专业认知。当前方法多侧重诊断而非全面患者关怀与教育。为此，北卡罗来纳大学护理学院提出SARHAchat，一个基于大语言模型的原型聊天机器人。该系统设计为可靠、以用户为中心的工具，整合医学专业知识与共情沟通能力，旨在提升性与生殖健康服务。评估显示，SARHAchat能提供准确且情境合适的避孕咨询，同时保持自然对话流程。演示链接：https://sarhachat.com/
原文摘要 · Abstract (English)
While Artificial Intelligence (AI) shows promise in healthcare applications, existing conversational systems often falter in complex and sensitive medical domains such as Sexual and Reproductive Health (SRH). These systems frequently struggle with hallucination and lack the specialized knowledge required, particularly for sensitive SRH topics. Furthermore, current AI approaches in healthcare tend to prioritize diagnostic capabilities over comprehensive patient care and education. Addressing these gaps, this work at the UNC School of Nursing introduces SARHAchat, a proof-of-concept Large Language Model (LLM)-based chatbot. SARHAchat is designed as a reliable, user-centered system integrating medical expertise with empathetic communication to enhance SRH care delivery. Our evaluation demonstrates SARHAchat's ability to provide accurate and contextually appropriate contraceptive counseling while maintaining a natural conversational flow. The demo is available at https://sarhachat.com/}{https://sarhachat.com/.
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