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

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

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

Keywords: AI, Nonaccidental Trauma, metaphyseal corner fractures

To assess whether a convolutional neural network (CNN) can be trained via transfer learning to accurately diagnose germinal matrix hemorrhage-intraventricular hemorrhage (GMH-IVH) on cranial ultrasound (CUS) by comparing its performance to that of a board-certified radiologist. Secondary endpoints will include the ability of CNN to grade GMH-IVH severity, identify GMH-IVH on MRI, and assess low-grade GMH-IVH on CUS that cannot reliably be seen by a radiologist. Read More

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

Authors: Kim Kevin, Nowrangi Rajeev, Mcgehee Arianna, Joshi Neil, Acharya Patricia

Keywords: AI, Cranial ultrasound, germinal matrix hemorrhage