Predicting Obstructive Sleep Apnea Based on Computed Tomography Scan Using Deep Learning Models.
Jeong-Whun KimKyungsu LeeHyun Jik KimHae Chan ParkJae Youn HwangSeok-Won ParkHyoun-Joong KongJin Youp KimPublished in: American journal of respiratory and critical care medicine (2024)
A novel deep learning model, including a multimodal deep learning model and an airway-highlighting preprocessing algorithm from CT images obtained for other purposes, can provide significantly precise outcomes for OSA diagnosis.
Keyphrases
- deep learning
- computed tomography
- obstructive sleep apnea
- convolutional neural network
- artificial intelligence
- dual energy
- machine learning
- positron emission tomography
- positive airway pressure
- image quality
- magnetic resonance imaging
- contrast enhanced
- type diabetes
- pain management
- magnetic resonance
- metabolic syndrome
- glycemic control
- pet ct