Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19.

Eui Jin Hwang Hyung Jin Kim Soon-Ho Yoon Jin Mo Goo Chang Min Park

Published in: Korean journal of radiology (2020)

Radiologists with CAD assistance could identify patients with rRT-PCR-positive COVID-19 or pneumonia on CXR with a reasonably acceptable performance. In patients suspected with COVID-19, CXR had much faster TATs than rRT-PCRs.

Keyphrases

coronavirus disease
sars cov
end stage renal disease
newly diagnosed
deep learning
ejection fraction
prognostic factors
peritoneal dialysis
primary care
pulmonary embolism
coronary artery disease
intensive care unit
machine learning
respiratory syndrome coronavirus
cone beam computed tomography