Deep learning predicts hip fracture using confounding patient and healthcare variables

Hip fractures are a leading cause of death and disability among older adults. Hip fractures are also the most commonly missed diagnosis on pelvic radiographs, and delayed diagnosis leads to higher cost and worse outcomes. Computer-aided diagnosis (CAD) algorithms have shown promise for helping radio...

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Detalles Bibliográficos
Autores principales: Badgeley, Marcus A., Zech, John R., Oakden-Rayner, Luke, Glicksberg, Benjamin S., Liu, Manway, Gale, William, McConnell, Michael V., Percha, Bethany, Snyder, Thomas M., Dudley, Joel T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550136/
https://www.ncbi.nlm.nih.gov/pubmed/31304378
http://dx.doi.org/10.1038/s41746-019-0105-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550136/
https://www.ncbi.nlm.nih.gov/pubmed/31304378
http://dx.doi.org/10.1038/s41746-019-0105-1

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