Radiologists can visually predict mortality risk based on the gestalt of chest radiographs comparable to a deep learning network

Deep learning convolutional neural network (CNN) can predict mortality from chest radiographs, yet, it is unknown whether radiologists can perform the same task. Here, we investigate whether radiologists can visually assess image gestalt (defined as deviation from an unremarkable chest radiograph as...

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Detalles Bibliográficos
Autores principales: Weiss, Jakob, Taron, Jana, Jin, Zexi, Mayrhofer, Thomas, Aerts, Hugo J. W. L., Lu, Michael T., Hoffmann, Udo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486799/
https://www.ncbi.nlm.nih.gov/pubmed/34599265
http://dx.doi.org/10.1038/s41598-021-99107-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486799/
https://www.ncbi.nlm.nih.gov/pubmed/34599265
http://dx.doi.org/10.1038/s41598-021-99107-0

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