SPR 2025 - X-C: Scientific - AI (Non-CME)

Overview
Contents (1)

SPR 2025 - X-C: Scientific - AI (Non-CME)

Moderators: Neville Irani, MD and Evan J. Zucker, MD

Keynote Presentation: AI - Neville Irani, MD
#112 | A Blinded Comparison of Traditional and Deep-Learning MRI of the Knee - Christopher Baldwin, BS
#113 | Clinical Deployment and Prospective Validation of a Homegrown AI Model for Measuring Limb Length Discrepancies - Andy Tsai, MD, PhD
#114 | Deep Learning-based Approach for Predicting Bone Mineral Density in Children Using Chest Radiographs - Jae Won Choi
#115 | Performance of a Locally-run Context Aware Chatbot in Adhering to ACR Pediatric Imaging Guidelines: A Comparative Analysis with Radiologists and Generic Large Language Models - Amit Gupta
#117 | A Convolutional Neural Network for Classification of Urinary Tract Dilation from Renal Ultrasounds: A Feasibility Study - Kee Chung, MD, MBA
#118 | Ensemble Learning Stratification of Histologic Liver Fibrosis Severity Using MRI and Clinical Data in Pediatric Patients - Jonathan R. Dillman, MD, MSc
#119 | Benchmarking Abdominal Pediatric MRI Segmentation Models: A Comparative Study - Zachary Taylor
#120 | Does Skeletal Muscle Volume and Density Affect Survival Outcome in Pediatric Patients with Rhabdomyosarcoma? - Rida Salman
#121 | Neuroblastoma Survival Models Based on Magnetic Resonance Radiomics and Deep Features - Diana Veiga-Canuto, PhD
#122 | Classification of Osteosarcoma Clinical Outcomes Using Contrast-enhanced MRI Radiomics and Clinical Variables - Esther Ngan
#123 | Deep Learning Models for Tumor Volume Quantification and Survival Prediction in Pediatric Osteosarcoma - Ricarda Von Kruechten
#124 | Patient-Friendly Radiology Reports: Assessing Family Engagement and Acceptance at Two Academic Children’s Hospitals - Andrew Johnston, MD, MBA
Additional Discussion and Q&A

No CME Credit is offered for this session.