Automatic Information Extraction from Neurological Assessment Records for Leprosy Cases Using AI

Leprosy is a chronic infectious disease that continues to be present in more than 120 countries. In 2023, over 20,000 new cases were reported in Brazil, making it the second most endemic country in the world. The development of new information systems that utilize available clinical records is essential to support decision-making during the treatment of this highly stigmatizing disease. In this study, we present preliminary results demonstrating the feasibility of using YOLO for the automatic recognition of non-textual data from neurological assessments of patients undergoing treatment. Our approach achieved an accuracy of 97.5% in recognizing sensory assessment records used in the Brazilian healthcare system.

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Publication Details

Published
2025-05-07
DOI
https://doi.org/10.5753/sbsi_estendido.2025.246799
Primary Topic
Digital Imaging for Blood Diseases
Type
article
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article

Automatic Information Extraction from Neurological Assessment Records for Leprosy Cases Using AI

Hélida Monteiro de Andrade, Patrícia Takako Endo, J Melo, Anthony Alexandre Morais Militão
Digital Imaging for Blood Diseases
article

Automatic Information Extraction from Neurological Assessment Records for Leprosy Cases Using AI

Hélida Monteiro de Andrade, Patrícia Takako Endo, J Melo, Anthony Alexandre Morais Militão
article en

Abstract

Leprosy is a chronic infectious disease that continues to be present in more than 120 countries. In 2023, over 20,000 new cases were reported in Brazil, making it the second most endemic country in the world. The development of new information systems that utilize available clinical records is essential to support decision-making during the treatment of this highly stigmatizing disease. In this study, we present preliminary results demonstrating the feasibility of using YOLO for the automatic recognition of non-textual data from neurological assessments of patients undergoing treatment. Our approach achieved an accuracy of 97.5% in recognizing sensory assessment records used in the Brazilian healthcare system.

Instituto Federal de Educação, Ciência e Tecnologia de Pernambuco (BR)
Openalex Percentile: Top 92%
Digital Imaging for Blood Diseases
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