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An Artificial Neural Network for Nasogastric Tube Position Decision Support
PURPOSE: To develop and validate a deep learning model for detection of nasogastric tube (NGT) malposition on chest radiographs and assess model impact as a clinical decision support tool for junior physicians to help determine whether feeding can be safely performed in patients (feed/do not feed)....
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Radiological Society of North America
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077078/ https://www.ncbi.nlm.nih.gov/pubmed/37035435 http://dx.doi.org/10.1148/ryai.220165 |