SARHAchat：一个用于性与生殖健康咨询的基于 LLM 的聊天机器人
SARHAchat: An LLM-Based Chatbot for Sexual and Reproductive Health Counseling
AI总结：
针对现有 AI 在敏感 SRH 咨询中知识不足、易幻觉且重诊断轻照护的问题，本文提出基于 LLM 的 SARHAchat，融合医学专业知识与共情沟通，可准确自然地提供避孕咨询。
摘要：
尽管人工智能（AI）在医疗保健应用中展现出前景，但现有对话系统在性与生殖健康（SRH）等复杂且敏感的医学领域中往往表现不佳。这些系统经常受到幻觉问题困扰，并缺乏所需的专业知识，尤其是在敏感的 SRH 主题方面。此外，当前医疗保健中的 AI 方法倾向于优先考虑诊断能力，而不是全面的患者照护与教育。为解决这些差距，北卡罗来纳大学护理学院的这项工作推出了 SARHAchat，这是一个基于大语言模型（LLM）的概念验证聊天机器人。SARHAchat 被设计为可靠、以用户为中心的系统，将医学专业知识与共情沟通相结合，以改善 SRH 照护服务。我们的评估表明，SARHAchat 能够在保持自然对话流程的同时，提供准确且符合情境的避孕咨询。该演示可在 https://sarhachat.com/}{https://sarhachat.com/ 获取。
英文摘要：
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/.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
