Any unique image biomarkers associated with COVID-19?

Jiantao PuJoseph LeaderAndriy BandosJunli ShiPang DuJuezhao YuBohan YangShi KeYoumin GuoJessica B FieldCarl FuhrmanDavid WilsonFrank SciurbaChenwang Jin

Published in: European radiology (2020)

• Both human experts and artificial intelligent models were used to classify the CT scans. • ROC analysis and the nonparametric approaches were used to analyze the performance of the radiologists and computer algorithms. • Unique image features or patterns may not exist for reliably distinguishing all COVID-19 from CAP; however, there may be imaging markers that can identify a sizable subset of non-COVID-19 cases.

Keyphrases

coronavirus disease
sars cov
deep learning
computed tomography
endothelial cells
machine learning
artificial intelligence
high resolution
respiratory syndrome coronavirus
contrast enhanced
positron emission tomography
photodynamic therapy