Latest AI and machine learning research in radiology for healthcare professionals.
Structural magnetic resonance imaging reveals lateral ventricular enlargement as a prominent structu...
INTRODUCTION: Augmented intelligence (AI) tools have become popular additions to medicine. AI can tr...
While translational animal models play a meaningful role in interventional oncology (IO) research, r...
Coronary artery calcium (CAC) scoring plays a crucial role in the early detection and risk stratific...
CT/MRI adipose tissue segmentation underpins body-composition and medical-imaging AI research, yet r...
BACKGROUND: Diffusion-weighted imaging (DWI) can support lesion detection and characterization in br...
Predicting response to induction chemotherapy (IC) and overall survival (OS) is critical for optimiz...
BACKGROUND: Aneurysm sac shrinkage after endovascular aortic repair (EVAR) is a surrogate marker of ...
BACKGROUND: Cine cardiac magnetic resonance imaging (MRI) protocols are typically based on static te...
OBJECTIVES: This study aimed to develop and validate an interpretable machine learning model for ost...
PURPOSE: Generative artificial intelligence (AI) models are increasingly evaluated for diagnostic ta...
BACKGROUND: Cardiovascular magnetic resonance (CMR) imaging acquisition frequently relies on breath-...
BACKGROUND: Pediatric intussusception is among the most common surgical emergencies in early childho...
Ultrasound imaging is a widely used diagnostic tool, and beamforming techniques are integral to its ...
PURPOSE: Cell tracking with zirconium-89 PET has the potential for widespread clinical and research ...
PURPOSE OF REVIEW: To summarize current imaging modalities for upper tract urothelial carcinoma (UTU...
RATIONALE AND OBJECTIVES: Atrial fibrillation (AF) is the most common arrhythmia, affecting 1-2% of ...
BACKGROUND: Manual prescription of liver MRI volumes introduces inter-operator variability and prolo...
BACKGROUND: To develop and validate a Vision Transformer-based model for semi-quantitative grading o...
BACKGROUND: Accurate evaluation of tumor vascularity is essential in neuro-oncology, but conventiona...
Digital orthopedics integrates artificial intelligence, finite element analysis, virtual surgical pl...