Our Publications

Purpose of the Study This study aimed to assess the prevalence and characteristics of pericardial calcification in adult patients with cystic fibrosis (CF), and to compare

Purpose of the Study This study explored how machine learning (ML) models can be used to detect cervical spine fractures that were missed by interpreting

Overview This review article explores the evolving role of artificial intelligence (AI) in gastrointestinal (GI) imaging, emphasizing the current limitations and potential applications of AI-driven

Explainable AI (XAI) in radiology refers to AI systems that assist physicians by providing transparent and understandable diagnostic advice, often accompanied by visual annotations. This

This study explores the potential of low-field (64 mT) portable MRI (pMRI) as a diagnostic tool for identifying dissemination in space (DIS) in patients presenting with

The RSNA Pulmonary Embolism CT Dataset includes imaging data for identifying pulmonary emboli. This dataset is valuable for training and validating machine learning models designed

Purpose of the Study The purpose of this study was to determine how often new lesions appear in the cervical spinal cord without any