Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

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

Domain:

healthcarenatural language processing
Creator:
Jha
Publisher:
arXiv
Host: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