A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis

We undertook a systematic review of the diagnostic accuracy of artificial intelligence-based software for identification of radiologic abnormalities (computer-aided detection, or CAD) compatible with pulmonary tuberculosis on chest x-rays (CXRs). We searched four databases for articles published bet...

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Detalles Bibliográficos
Autores principales: Harris, Miriam, Qi, Amy, Jeagal, Luke, Torabi, Nazi, Menzies, Dick, Korobitsyn, Alexei, Pai, Madhukar, Nathavitharana, Ruvandhi R., Ahmad Khan, Faiz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719854/
https://www.ncbi.nlm.nih.gov/pubmed/31479448
http://dx.doi.org/10.1371/journal.pone.0221339

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719854/
https://www.ncbi.nlm.nih.gov/pubmed/31479448
http://dx.doi.org/10.1371/journal.pone.0221339

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