Estimation of age in unidentified patients via chest radiography using convolutional neural network regression.
Journal:
Emergency radiology
Published Date:
Apr 28, 2020
Abstract
PURPOSE: 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.