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PragyaDoc: A Universal Document Intelligence Framework for Multilingual Medical Document Understanding in Low-Resource Settings

Domaine:

healthcarenatural language processing
Créateur:
Jha
Éditeur:
arXiv
Hôte:avatar
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 - are functionally excluded from understanding it. This paper presents PragyaDoc, a Universal Document Intelligence Framework that addresses this gap through a four-layer pipeline: a parallel ensemble OCR extraction layer, a geometric-lexical fusion layer, a deterministic domain structuring layer, and a dual-LLM medical reasoning and localization layer 7 pages 4 images/figure

Visit

doi.org

Tasks

computer visioninformation extractionoptical character recognition

Tags

Computer Vision and Pattern Recognition (cs.CV)Computation and Language (cs.CL)FOS: Computer and information sciences

Licenses

Creative Commons Attribution Non Commercial No Derivatives 4.0 Internationalhttps://creativecommons.org/licenses/by-nc-nd/4.0/legalcode