SPR 2023 - Scientific V-B: AI/Machine Learning (Non-CME)

Overview
Contents (1)

SPR 2023 - Scientific V-B: AI/Machine Learning (Non-CME)

Moderators: Shireen Hayatghaibi, MPH, PhD and Ramesh S. Iyer, MD, MBA

Keynote Panel: Patient/Radiologists Communication/Consult Radiologist - Nadja Kadom, MD; Marla Sammer, MD, MHA; Safwan Halabi, MD
#94 | Commercially Available Artificial Intelligence Algorithms of Interest to Pediatric Radiology: The Growing Gap Between Potential Use and Data Training - Luis Tierradentro-Garcia, MD
#95 | Diagnostic Accuracy of Artificial Intelligence for Pediatric Pulmonary Nodule Detection in Computed Tomography of the Chest: Comparison at 3 mm and 1 mm Slice Thickness - Rida Salman, MD
#96 | Artificial Intelligence-Based Quantification of Amniotic Fluid Volume on Fetal MRI: A Pilot Study - Valeria Pena Trujillo, MD
#97 | Machine Learning Diagnosis of Small Bowel Crohn’s Disease Using T2-Weighted MRI Radiomic and Clinical Data: A Multi-Reader Study - Jonathan R. Dillman, MD, MSc
#98 | Automatic Localization of Foreign Objects in Chest X-ray Images of Pediatric Patients Using an Artificial Neural Network - Yan Ding
#99 | Machine Learning Stratification of Liver Histologic Fibrosis using MRI Radiomic and Clinical Features from Pediatric Patients - Jonathan R. Dillman, MD, MSc
#100 | Dating Birth-Related Clavicular Fractures: Pediatric Radiologists versus Artificial Intelligence - Andy Tsai, MD, PhD
#101 | Surveillance Hip Imaging in Patients with Cerebral Palsy: New Imaging Paradigm Based on Low-Dose CTs and Machine Learning Analysis - Shaoju Wu, PhD
#102 | Applicability of a Deep Learning MR Reconstruction for Turbo Spin Echo Sequences in Musculoskeletal Imaging in Children and Adolescents - M. Alejandra Bedoya, MD
#103 | Children’s Long Bones Fracture Subtype Identification and Localization on Plain Radiographs of Using Neural Network - Esther Ngan, PhD

No CME Credit is offered for this session.