Diagnostic accuracy of three computer-aided detection systems for detecting pulmonary tuberculosis on chest radiography when used for screening: Analysis of an international, multicenter migrants screening study

The aim of this study was to independently evaluate the diagnostic accuracy of three artificial intelligence (AI)-based computer aided detection (CAD) systems for detecting pulmonary tuberculosis (TB) on global migrants screening chest x-ray (CXR) cases when compared against both microbiological and...

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Detalles Bibliográficos
Autores principales: Gelaw, Sifrash Meseret, Kik, Sandra V., Ruhwald, Morten, Ongarello, Stefano, Egzertegegne, Tesfa Semagne, Gorbacheva, Olga, Gilpin, Christopher, Marano, Nina, Lee, Scott, Phares, Christina R., Medina, Victoria, Amatya, Bhaskar, Denkinger, Claudia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348531/
https://www.ncbi.nlm.nih.gov/pubmed/37450425
http://dx.doi.org/10.1371/journal.pgph.0000402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348531/
https://www.ncbi.nlm.nih.gov/pubmed/37450425
http://dx.doi.org/10.1371/journal.pgph.0000402

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