Latest AI and machine learning research in radiology for healthcare professionals.
The existing assessment of adjacent segment degeneration (ASD) risk after lumbar fusion surgery focu...
The performance and long-term health of athletes are significantly influenced by their cardiovascula...
UNLABELLED: The Radiology team from a large Breast Screening Unit in the UK with a screening populat...
Sparse arrays offer several advantages over other element reduction techniques for 3-D ultrasound im...
OBJECTIVE: Considering the radiation hazard of X-ray, safer, more convenient and cost-effective ultr...
In the healthcare field, brain tumor causes irregular development of cells in the brain. One of the ...
Magnetic resonance fingerprinting (MRF), as an emerging versatile and noninvasive imaging technique,...
This study aimed to develop and evaluate a deep-learning model for attenuation and scatter correctio...
Surgical tool tip localization and tracking are essential components of surgical and interventional ...
The generation of Synthetic Computed Tomography (sCT) images has become a pivotal methodology in mod...
In healthcare sector, magnetic resonance imaging (MRI) images are taken for multiple sclerosis (MS) ...
BACKGROUND: Neuromuscular diseases (NMDs) are rare disorders characterized by progressive muscle fib...
BACKGROUND AND OBJECTIVE: Multiple sclerosis (MS) is a chronic neurological disease characterized by...
AIM: To develop and validate a magnetic resonance imaging (MRI)-based deep learning radiomics model ...
Mitral valve (MV) assessment is key to diagnosing valvular disease and to addressing its serious dow...
OBJECTIVES: Multiplexed Positron Emission Tomography (PET) imaging allows simultaneous acquisition o...
Deep complex-valued neural networks (CVNNs) provide a powerful way to leverage complex number operat...
Artificial intelligence (AI) is rapidly transforming cardiovascular imaging, offering innovative sol...
Magnetic resonance imaging (MRI), as a non-invasive detection method, is crucial for the clinical di...
PURPOSE: Automated Whole-Breast Ultrasound (ABUS) has been widely used as an important tool in breas...
The goal of this study was to expand our previously created prediction tool (PREDICT-AVF) and web ap...