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Endotracheal Tube Position Assessment on Chest Radiographs Using Deep Learning
PURPOSE: To determine the efficacy of deep learning in assessing endotracheal tube (ETT) position on radiographs. MATERIALS AND METHODS: In this retrospective study, 22 960 de-identified frontal chest radiographs from 11 153 patients (average age, 60.2 years ± 19.9 [standard deviation], 55.6% men) b...
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| Publicado no: | Radiol Artif Intell |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Radiological Society of North America
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8082365/ https://ncbi.nlm.nih.gov/pubmed/33937852 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2020200026 |
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