PragyaDoc：低资源环境下的多语言医疗文档智能理解框架
原标题：PragyaDoc: A Universal Document Intelligence Framework for Multilingual Medical Document Understanding in Low-Resource Settings
AI 摘要
arXiv 发布论文介绍 PragyaDoc，一个面向低资源环境的多语言医疗文档理解框架。该框架通过四层流水线（并行集成 OCR 提取、几何词汇融合、确定性领域结构化、双 LLM 医学推理与定位）解决印度 22 种官方语言导致的医疗文档可访问性障碍。其目标用户包括农村人口、ASHA 工作者和患者家属，旨在提升医疗信息的可理解性。
正文节选
Computer Science > Computer Vision and Pattern Recognition Title:PragyaDoc: A Universal Document Intelligence Framework for Multilingual Medical Document Understanding in Low-Resource Settings View PDF HTML (experimental) Abstract:India's 22 official languages create a critical accessibility barrier: the majority of medical documentation exists exclusively in English, yet the patients who most urgently require this information - rural populations, ASHA workers, and patient families -