Latest AI and machine learning research in radiology for healthcare professionals.
Self-supervised learning (SSL) has been proposed to alleviate neural networks' reliance on annotated...
Tissue stiffness is related to soft tissue pathologies and can be assessed through palpation or via ...
Analyzing anatomic shapes of tissues and organs is pivotal for accurate disease diagnostics and clin...
BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia, affecting up to 2 % of t...
Chick gender classification is crucial for optimizing poultry production, yet traditional methods su...
Accurate liver lesion segmentation in ultrasound is a challenging task due to high speckle noise, am...
OBJECTIVE: This study aims to develop a radiomics machine learning (ML) model that uses preoperative...
Autism spectrum disorder (ASD) is a neurodevelopmental condition that affects a child's cognitive an...
Artificial intelligence (AI) holds great promise for analyzing complex data to advance patient care ...
Diffusion MRI (dMRI) is the primary imaging modality used to study brain microstructure in vivo. Rel...
BACKGROUND: Magnetic Resonance (MR) imaging is the preferred modality for staging in rectal cancer; ...
Segmentation of the breast region in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) ...
BACKGROUND: Patients with chronic kidney disease (CKD) are considered the primary population at risk...
Schizophrenia (SZ) is a complex mental disorder characterized by a profound disruption in cognition ...
OBJECTIVE: To evaluate whether deep learning (DL) analysis of intratumor subregion based on dynamic ...
PURPOSE: We aimed to systematically assess the value of radiomics/machine learning (ML) models for d...
Advanced imaging techniques, like magnetic resonance imaging (MRI), have revolutionised cardiovascul...
BACKGROUND: Deep learning, a leading technology in artificial intelligence (AI), has shown remarkabl...
BACKGROUND: Accurate segmentation of pelvic and sacral tumors (PSTs) in multi-sequence magnetic reso...
BACKGROUND: To investigate the perspectives and expectations of faculty radiologists, residents, and...
Classifying medical images is essential in computer-aided diagnosis (CAD). Although the recent succe...