Child abuse is the principal cause of traumatic injury and death in children 0-36 months old. Radiologic findings are a critically important piece of evidence necessary for assessment by a Child Protection Team to assess possible abuse. Current algorithmic strategies for the detection of abuse are sensitive, but compromise specificity. The purpose of this study was to determine the performance of deep learning to diagnose child abuse using Natural Language Processing of the unstructured free-text from Electronic Health Records (EHR), including essential information from Radiology Reports. Read More

Meeting name: SPR 2020 Annual Meeting & Postgraduate Course , 2020

Authors: Annapragada Akshaya, Donaruma-kwoh Marcella, Annapragada Ananth, Starosolski Zbigniew

Keywords: Child Abuse, decision support, Convolutional Neural Network