Evaluation of an ultra-portable X-ray system with automated interpretation for tuberculosis active case finding in carceral settings: a diagnostic test accuracy study

The FDR Xair and LunitTB interpretation enabled us to screen persons deprived of liberty rapidly, with a high diagnostic accuracy particularly among those who reported any TB symptoms.

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Publication Details

Journal
BMC Infectious Diseases
Published
2025-11-03
DOI
https://doi.org/10.1186/s12879-025-11835-0
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation of an ultra-portable X-ray system with automated interpretation for tuberculosis active case finding in carceral settings: a diagnostic test accuracy study

José Victor Bortolotto Bampi, Eunice A. T. Cunha, Adriana Silva-Iturriza, Everton Ferreira Lemos et al.
BMC Infectious Diseases
COVID-19 diagnosis using AI
article

Evaluation of an ultra-portable X-ray system with automated interpretation for tuberculosis active case finding in carceral settings: a diagnostic test accuracy study

José Victor Bortolotto Bampi, Eunice A. T. Cunha, Adriana Silva-Iturriza, Everton Ferreira Lemos, Caroline Busatto, Roberto Dias de Oliveira, Mariana Garcia Croda, T.O. Gonçalves, Iran Gonçalves, Argita D. Salindri, Daniel Henrique Tsuha, Jason Randolph Andrews, Júlio Croda, Andrea da Silva Santos
article en

Abstract

The FDR Xair and LunitTB interpretation enabled us to screen persons deprived of liberty rapidly, with a high diagnostic accuracy particularly among those who reported any TB symptoms.

BMC Infectious DiseasesVol. 25(1)
Universidade Federal de Mato Grosso do Sul (BR), Universidade Federal da Grande Dourados (BR), Universidade Estadual de Mato Grosso do Sul (BR), Yale University (US), Ministério da Saúde (BR), Stanford Medicine (US), Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul (BR), Fundação Oswaldo Cruz (BR), Stanford University (US)
National Institutes of Health, National Institute of Allergy and Infectious Diseases
Openalex Percentile: Top 53%
COVID-19 diagnosis using AI
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