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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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| Publicado no: | NPJ Digit Med |
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| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6550136/ https://ncbi.nlm.nih.gov/pubmed/31304378 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-019-0105-1 |
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