Prediction of Obstructive Lung Disease from Chest Radiographs via Deep Learning Trained on Pulmonary Function Data.

Joyce D Schroeder Ricardo B LanfrediTao LiJessica ChanClement VachetRobert Paine IiiVivek SrikumarTolga Tasdizen

Published in: International journal of chronic obstructive pulmonary disease (2021)

A CNN Image Model trained on physiologic lung function data (PFTs) can be applied to chest radiographs for quantitative prediction of obstructive lung disease with good accuracy.

Keyphrases

lung function
deep learning
electronic health record
convolutional neural network
cystic fibrosis
air pollution
chronic obstructive pulmonary disease
resistance training
big data
artificial intelligence
high resolution
mass spectrometry
body composition
data analysis
high intensity