CataractBot：一款由LLM驱动的专家参与式白内障患者聊天机器人
CataractBot: An LLM-Powered Expert-in-the-Loop Chatbot for Cataract Patients
AI总结：
针对患者对可靠健康信息的需求与专家沟通时间不足的矛盾，开发CataractBot——由LLM驱动的专家参与式聊天机器人，可即时回答白内障手术问题并异步提供专家验证回复，在实际部署中展现多方面潜力，为相关研究提供参考。
摘要：
医疗健康领域正在不断发展，患者们正在寻求关于自身健康状况和可用治疗方案的可靠信息。尽管信息来源丰富，但数字时代的海量信息常令人们被过多且往往不准确的内容淹没。患者主要信任医疗专业人员，这凸显了对专家认可的健康信息的需求。然而，专家的患者负荷增加导致沟通时间减少，影响了信息共享。为解决这一差距，我们开发了CataractBot。该机器人使用LLM查询精选知识库即时回答白内障手术相关问题，并异步提供专家验证的回复，具备多模态和多语言能力。在包含49名患者及陪护人员、4名医生和2名患者协调员的实际部署研究中，它展现出潜力：提供随时可及性、节省时间、适应不同文化水平、缓解权力差异，并在患者与医生间增加隐私层。用户表示对系统的信任源于专家验证。总体而言，我们的结果可为未来专家介导的LLM机器人研究提供参考。
英文摘要：
The healthcare landscape is evolving, with patients seeking reliable information about their health conditions and available treatment options. Despite the abundance of information sources, the digital age overwhelms individuals with excess, often inaccurate information. Patients primarily trust medical professionals, highlighting the need for expert-endorsed health information. However, increased patient loads on experts has led to reduced communication time, impacting information sharing. To address this gap, we developed CataractBot. CataractBot answers cataract surgery related questions instantly using an LLM to query a curated knowledge base, and provides expert-verified responses asynchronously. It has multimodal and multilingual capabilities. In an in-the-wild deployment study with 49 patients and attendants, 4 doctors, and 2 patient coordinators, CataractBot demonstrated potential, providing anytime accessibility, saving time, accommodating diverse literacy levels, alleviating power differences, and adding a privacy layer between patients and doctors. Users reported that their trust in the system was established through expert verification. Broadly, our results could inform future work on expert-mediated LLM bots.
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。
