Estimation of age in unidentified patients via chest radiography using convolutional neural network regression

Patient age has important clinical utility for refining a differential diagnosis in radiology. Here, we evaluate the potential for convolutional neural network models to predict patient age based on anterior-posterior chest radiographs for instances where patients may present for emergency services without the ability to provide this identifying information. We used the CheXpert dataset of 224,316 chest radiographs from 65,240 patients to train...