Deep learning technique to detect craniofacial anatomical abnormalities concentrated on middle and anterior of face in patients with sleep apnea.

Shuai HeYingjie LiChong ZhangZufei LiYuanyuan RenTiancheng LiJianting Wang

Published in: Sleep medicine (2023)

The results suggest that the deep learning-based model can extract meaningful features that are primarily concentrated in the middle and anterior regions of the face.

Keyphrases

deep learning
sleep apnea
positive airway pressure
artificial intelligence
obstructive sleep apnea
convolutional neural network
machine learning
oxidative stress
anti inflammatory
cone beam computed tomography