Latest AI and machine learning research in radiology for healthcare professionals.
Carotid artery atherosclerosis is a severe vascular condition linked to stroke and cardiovascular co...
Lumbar spine degeneration (LSD) is a major contributor to lower back pain (LBP) worldwide, typically...
BACKGROUND: Ultrasound (US) is widely used for assessing lymph node (LN) status, but its diagnostic ...
For most with Parkinson disease, a movement disorder, voice and speech are impaired at some point, w...
IMPORTANCE: Myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) is a demyelinati...
OBJECTIVE: Understanding how emotional arousal is represented in the brain is fundamental for elucid...
BACKGROUND: Arterial stiffness is an independent predictor of cardiovascular morbidity and mortality...
RATIONALE AND OBJECTIVES: Ultrasound elastography (EUS) provides tissue stiffness information to imp...
Existing artificial intelligence methods for Alzheimer's disease (AD) diagnosis predominantly emphas...
This study aims to develop and evaluate a fully automated deep learning framework for generating str...
Accurate segmentation of breast tissues in MRI is essential for precise breast cancer diagnosis and ...
INTRODUCTION: SONIALVISION G4 is a fluoroscopic imaging system equipped with a bone densitometry fun...
Accelerated magnetic resonance imaging (MRI) typically relies on fully sampled k-space data to train...
Breast cancer is one of the leading causes of cancer-related mortality worldwide, and despite advanc...
PURPOSE: Federated learning (FL) enables multiple institutions to collaboratively train machine lear...
BACKGROUND: This study evaluated an AI-based lesion segmentation tool using a hybrid 2D-3D deep lear...
BACKGROUND: Friedreich ataxia (FRDA) is a rare neurodegenerative disorder with heterogenous clinical...
INTRODUCTION: Cervical cancer management relies heavily on magnetic resonance imaging (MRI) for stag...
The early and accurate diagnosis of brain tumors is critically important, as timely intervention sig...
PURPOSE: To develop and validate a fully automated deep learning-based method for total kidney volum...
BACKGROUND: Patients with urological conditions often undergo recurrent computed tomography (CT) ima...