Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration

To evaluate the calibration of a deep learning (DL) model in a diagnostic cohort and to improve model’s calibration through recalibration procedures. Chest radiographs (CRs) from 1135 consecutive patients (M:F = 582:553; mean age, 52.6 years) who visited our emergency department were included. A commercialized DL model was utilized to identify abnormal CRs, with a continuous probability score for each CR. After evaluation of the model...