A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study

Abstract

The present study used deep learning algorithms to classify abnormalities suggesting PH in chest radiographs with high accuracy and good generalizability. Once tested prospectively in clinical settings, the technology could provide a non-invasive and easy-to-use method to screen patients suspected of having PH.