Prediction of obstructive sleep apnea using deep learning in 3D craniofacial reconstruction

BACKGROUND: Obstructive sleep apnea (OSA) is a common sleep disorder. However, current diagnostic methods are labor-intensive and require professionally trained personnel. We aimed to develop a deep learning model using upper airway computed tomography (CT) to predict OSA and to warn the medical tec...

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Detalles Bibliográficos
Autores principales: Zhang, Zishanbai, Feng, Yang, Li, Yanru, Zhao, Liang, Wang, Xingjun, Han, Demin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922596/
https://www.ncbi.nlm.nih.gov/pubmed/36794147
http://dx.doi.org/10.21037/jtd-22-734

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922596/
https://www.ncbi.nlm.nih.gov/pubmed/36794147
http://dx.doi.org/10.21037/jtd-22-734

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