用大模型打造可交互的医学教育工具，练诊断、读文献、看新闻一气呵成。
MediTools -- Medical Education Powered by LLMs
- 用真实皮疹图+大模型虚拟患者，模拟临床问诊场景。
- 集成PubMed和新闻摘要工具，提升文献阅读与知识更新效率。
- 医生学生实测反馈良好，适合医学教学与持续学习场景。
人工智能正快速发展，尤其自2022年底大语言模型（LLMs）出现以来，在医学等领域的应用潜力巨大。本研究开发了MediTools——基于大模型的医学教育平台，旨在通过交互式工具解决医学教育中的流程挑战。该平台包含三个核心功能：一是皮肤病案例模拟工具，利用真实患者图像，结合大模型作为虚拟患者进行临床互动；二是增强版PubMed工具，支持用户与大模型协作深入解析研究论文；三是谷歌新闻摘要工具，由大模型生成各医学专科最新文章的简明摘要。我们对医疗专业人员和学生进行了全面调查，收集其对MediTools的有效性与满意度反馈，为后续优化提供依据。研究表明，基于AI的工具具有变革医学教育的巨大潜力，可构建一个可扩展、互动性强的终身学习平台。
原文摘要 · Abstract (English)
Artificial Intelligence (AI) has been advancing rapidly and with the advent of large language models (LLMs) in late 2022, numerous opportunities have emerged for adopting this technology across various domains, including medicine. These innovations hold immense potential to revolutionize and modernize medical education. Our research project leverages large language models to enhance medical education and address workflow challenges through the development of MediTools - AI Medical Education. This prototype application focuses on developing interactive tools that simulate real-life clinical scenarios, provide access to medical literature, and keep users updated with the latest medical news. Our first tool is a dermatology case simulation tool that uses real patient images depicting various dermatological conditions and enables interaction with LLMs acting as virtual patients. This platform allows users to practice their diagnostic skills and enhance their clinical decision-making abilities. The application also features two additional tools: an AI-enhanced PubMed tool for engaging with LLMs to gain deeper insights into research papers, and a Google News tool that offers LLM generated summaries of articles for various medical specialties. A comprehensive survey has been conducted among medical professionals and students to gather initial feedback on the effectiveness and user satisfaction of MediTools, providing insights for further development and refinement of the application. This research demonstrates the potential of AI-driven tools in transforming and revolutionizing medical education, offering a scalable and interactive platform for continuous learning and skill development.
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