MRA - Proof of Concept of a Multilingual Report Annotator Web Application
Lu\'is Campos, Francisco Couto

TL;DR
MRA is a web app that translates non-English radiology reports and annotates them with RadLex terms, aiming to improve text mining for diverse languages in medical imaging.
Contribution
This paper presents a proof of concept for a multilingual radiology report annotation tool that addresses language barriers in medical text mining.
Findings
Demonstrates feasibility of translating radiology reports
Integrates RadLex ontology for annotation
Provides open-source implementation
Abstract
MRA (Multilingual Report Annotator) is a web application that translates Radiology text and annotates it with RadLex terms. Its goal is to explore the solution of translating non-English Radiology reports as a way to solve the problem of most of the Text Mining tools being developed for English. In this brief paper we explain the language barrier problem and shortly describe the application. MRA can be found at https://github.com/lasigeBioTM/MRA .
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Taxonomy
TopicsBiomedical Text Mining and Ontologies · Radiology practices and education · Topic Modeling
