Latest AI and machine learning research in radiology for healthcare professionals.
RATIONALE AND OBJECTIVES: To develop and validate a multi-modal stacking machine learning model inte...
Lung cancer, the most commonly diagnosed malignancy, is the leading cause of cancer-related mortalit...
Distal medium vessel occlusions (DMVOs), as a cause of acute ischemic stroke, typically present with...
BACKGROUND AND PURPOSE: Risk stratification in pediatric low-grade glioma (pLGG) remains challenging...
The objective was to develop and validate an explainable artificial intelligence (AI)-based multimod...
The objective of this study is to demonstrate an end-to-end approach for operationalizing the Findab...
Accurate identification of benign and malignant thyroid nodules is a core link in clinical diagnosis...
Aortic intramural hematoma (IMH) is a high-risk subtype of acute aortic syndrome (AAS). The presence...
INTRODUCTION: Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary kid...
BackgroundNeuron loss is a hallmark of neurodegenerative diseases and leads to brain atrophy detecta...
OBJECTIVES: This study developed a magnetic resonance imaging (MRI)-based artificial intelligence (A...
Cone-beam CT (CBCT) is widely used in image-guided radiation therapy (IGRT). However, CBCT has limit...
BACKGROUND: Although thyroid nodules are detected in up to 60% of adults on ultrasound, the vast maj...
ABSTRACT: Artificial intelligence (AI) has become firmly established in radiology, with most current...
Particulate matter (PM) is known to accelerate atherosclerosis through systemic inflammation, yet it...
BACKGROUND: Conventional cardiovascular magnetic resonance (CMR) in pediatric and congenital heart d...
BACKGROUND: The inherent false-positive rate of computed tomography (CT) necessitates efficient, non...
PURPOSE: This project aims to develop and evaluate deep learning models using orbital magnetic reson...
OBJECTIVES: This study aimed to apply machine learning (ML) models to enhance lung cancer (LC) class...
BACKGROUND: Artificial intelligence (AI) is increasingly used to enhance diagnostic accuracy, automa...
PURPOSE OF REVIEW: Constrictive pericarditis is a complex disease whose distinction from clinical mi...