Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a common, but under-recognised, critical illness syndrome associated with high mortality. An important factor in its under-recognition is the variability in chest radiograph interpretation for ARDS. We sought to train a deep convolutional neu...

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Detalles Bibliográficos
Autores principales: Sjoding, Michael W, Taylor, Daniel, Motyka, Jonathan, Lee, Elizabeth, Co, Ivan, Claar, Dru, McSparron, Jakob I, Ansari, Sardar, Kerlin, Meeta Prasad, Reilly, John P, Shashaty, Michael G S, Anderson, Brian J, Jones, Tiffanie K, Drebin, Harrison M, Ittner, Caroline A G, Meyer, Nuala J, Iwashyna, Theodore J, Ward, Kevin R, Gillies, Christopher E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182690/
https://www.ncbi.nlm.nih.gov/pubmed/33893070
http://dx.doi.org/10.1016/S2589-7500(21)00056-X

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182690/
https://www.ncbi.nlm.nih.gov/pubmed/33893070
http://dx.doi.org/10.1016/S2589-7500(21)00056-X

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