Prediction of oxygen supplementation by a deep-learning model integrating clinical parameters and chest CT images in COVID-19.

Naoko KawataYuma IwaoYukiko MatsuuraMasaki SuzukiRyogo EmaYuki SekiguchiHirotaka SatoAkira NishiyamaMasaru NagayoshiYasuo TakiguchiTakuji SuzukiHideaki Haneishi

Published in: Japanese journal of radiology (2023)

The DL model integrating clinical information and chest CT images had high predictive accuracy. DL-based prediction of disease severity might be helpful in the clinical management of patients with COVID-19.

Keyphrases

deep learning
convolutional neural network
computed tomography
image quality
dual energy
coronavirus disease
contrast enhanced
sars cov
artificial intelligence
optical coherence tomography
machine learning
magnetic resonance imaging
social media