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A fully-automatic semi-supervised deep learning model for difficult airway assessment
BACKGROUND: Difficult airway conditions represent a substantial challenge for clinicians. Predicting such conditions is essential for subsequent treatment planning, but the reported diagnostic accuracies are still quite low. To overcome these challenges, we developed a rapid, non-invasive, cost-effe...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163620/ https://www.ncbi.nlm.nih.gov/pubmed/37159696 http://dx.doi.org/10.1016/j.heliyon.2023.e15629 |