Latest AI and machine learning research in radiology for healthcare professionals.
Contrast-enhanced computed tomography (CECT) of the abdomen and pelvis is widely used for diagnostic...
PURPOSE: To date, some studies have employed deep learning techniques to directly generate dynamic p...
INTRODUCTION: Small renal masses are increasingly detected on imaging, but their accurate classifica...
Current knee-abnormality detection relies on costly Magnetic Resonance Imaging (MRI) and subjective ...
PURPOSE: Artificial intelligence is increasingly integrated in clinical practice. In radiological im...
Deep learning in medical imaging is severely constrained by data scarcity. Data synthesis offers a p...
Accurate attenuation and scatter correction is essential in positron emission tomography (PET) for r...
BACKGROUND AND PURPOSE: Contrast-enhanced volume interpolated breath-hold examination (VIBE) is comm...
OBJECTIVE: Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by tre...
OBJECTIVE: To develop and evaluate a deep learning model capable of detecting ventriculomegaly on pr...
The multi-scale organization of chromatin underlies gene regulation and cell identity, yet how nucle...
Accurate brain parcellation in diffusion MRI (dMRI) space is essential for advanced neuroimaging ana...
BACKGROUND: Lumbar disc herniation (LDH) is a major cause of low back pain and radicular leg pain. P...
This review explores the application and limitations of ultrasound elastography (USE) in the pediatr...
BACKGROUND: Accurate segmentation of acute ischemic stroke (AIS) lesions on neuroimaging is essentia...
Body composition (BC) is a key determinant of metabolic risk, treatment tolerance, and long-term out...
BACKGROUND: Conventional clinical scoring systems and contrast-enhanced computed tomography (CECT) i...
OBJECTIVES: To evaluate the diagnostic performance of the large language model (LLM) Gemini 2.5 for ...
BACKGROUND: Artificial intelligence (AI) detection tools for intracranial hemorrhage (ICH) are incre...
BACKGROUND: Large language models (LLMs) require specialized methodologies to quantify model confide...
Low-Dose Computed Tomography (LDCT) is a widely used imaging modality to perform CT examinations wit...