让1200+获批的AI医疗设备可语义搜索，帮医生快速找对工具
FDA AI Search: Making FDA-Authorized AI Devices Searchable
- 用大模型提取审批摘要特征，实现语义检索
- 相比关键词搜索，相关结果准确率显著提升
- 适合临床医生选型和开发者构思新应用
超过1200款配备AI的医疗设备已获得美国FDA市场准入许可，但因FDA数据库仅含有限元数据和不可搜索的摘要PDF，识别符合特定临床需求的设备仍具挑战。为此，我们开发了FDA AI Search网站，支持对FDA授权的AI医疗设备进行语义查询。后端采用基于嵌入的检索系统，通过LLM从授权摘要中提取特征，并与用户查询对比，匹配相关内容。我们通过定量与定性评估验证了该检索算法相较于关键词方法的有效性。随着获批的AI医疗设备日益普及且应用场景不断扩展，该工具有望帮助医疗人员找到契合临床需求的设备，同时支持开发者设计新型AI应用。
原文摘要 · Abstract (English)
Over 1,200 AI-enabled medical devices have received marketing authorization from the U.S. FDA, yet identifying devices suited to specific clinical needs remains challenging because the FDA's databases contain only limited metadata and non-searchable summary PDFs. To address this gap, we developed FDA AI Search, a website that enables semantic querying of FDA-authorized AI-enabled devices. The backend includes an embedding-based retrieval system, where LLM-extracted features from authorization summaries are compared to user queries to find relevant matches. We present quantitative and qualitative evaluation that support the effectiveness of the retrieval algorithm compared to keyword-based methods. As FDA-authorized AI devices become increasingly prevalent and their use cases expand, we envision that the tool will assist healthcare providers in identifying devices aligned with their clinical needs and support developers in formulating novel AI applications.
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