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Deep Learning to Assess Long-term Mortality From Chest Radiographs
IMPORTANCE: Chest radiography is the most common diagnostic imaging test in medicine and may also provide information about longevity and prognosis. OBJECTIVE: To develop and test a convolutional neural network (CNN) (named CXR-risk) to predict long-term mortality, including noncancer death, from ch...
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| Publicado no: | JAMA Netw Open |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Association
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6646994/ https://ncbi.nlm.nih.gov/pubmed/31322692 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2019.7416 |
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