Xue Christine,  Nowrangi Rajeev,  Smith John,  Acharya Patricia

Final Pr. ID: Paper #: 021

To assess whether a convolutional neural network (CNN) can be trained via transfer learning to accurately diagnose metaphyseal corner fractures on long bone radiographs by comparing its performance to that of a board-certified pediatric radiologist. Secondary endpoints will include the ability of the CNN to detect the type of long bone presented on the radiograph as well as identify the chronicity of the fracture. Read More

Authors:  Xue Christine , Nowrangi Rajeev , Smith John , Acharya Patricia

Keywords:  AI, Nonaccidental Trauma, metaphyseal corner fractures