Evaluation of chest X-ray with automated interpretation algorithms for mass tuberculosis screening in prisons: a cross-sectional study

BACKGROUND: The World Health Organization (WHO) recommends systematic tuberculosis (TB) screening in prisons. Evidence is lacking for accurate and scalable screening approaches in this setting. We aimed to assess the accuracy of artificial intelligence-based chest x-ray interpretation algorithms for...

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Detalles Bibliográficos
Autores principales: Soares, Thiego Ramon, Oliveira, Roberto Dias de, Liu, Yiran E., Santos, Andrea da Silva, Santos, Paulo Cesar Pereira dos, Monte, Luma Ravena Soares, Oliveira, Lissandra Maia de, Park, Chang Min, Hwang, Eui Jin, Andrews, Jason R., Croda, Julio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904090/
https://www.ncbi.nlm.nih.gov/pubmed/36776567
http://dx.doi.org/10.1016/j.lana.2022.100388

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904090/
https://www.ncbi.nlm.nih.gov/pubmed/36776567
http://dx.doi.org/10.1016/j.lana.2022.100388

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