Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Pseudoxanthoma elasticum (PXE) is a hereditary disorder causing progressive arterial min...
The Australian Magnetic Resonance Imaging (MRI) Linear Accelerator program (MRI linac) was a major r...
Lumbar plexus block (LPB) is a regional anesthesia technique widely used for hip and knee surgeries....
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are rapidly transforming the medi...
PURPOSE: To investigate the feasibility of zero-shot self-supervised learning reconstruction for red...
Accurate interpretation of chest X-rays is a critical clinical skill, yet radiology training in medi...
OBJECTIVE: This study evaluates the diagnostic performance of two-dimensional (2D) microvascular flo...
OBJECTIVE: There are several clinical and research applications for determining the amount of brain ...
PURPOSE: This study addresses critical gaps in automated lymphoma segmentation from PET/CT imaging, ...
BACKGROUND: Some researchers have explored the application of radiomics-based machine learning to de...
Liquid uranium-zirconium (U,Zr) mixtures play a crucial role in the context of nuclear accident scen...
With the rapid growth of the use of computed tomography, advances in artificial intelligence enable ...
BACKGROUND: Cervical spine fractures require prompt and accurate diagnosis to minimize risk of long-...
OBJECTIVE: Carotid plaque detected by ultrasound is associated with major adverse cardiovascular eve...
Ultrasound has emerged as a versatile, non-invasive imaging technique in dermatology, offering real-...
Time efficient and reliable pipelines for quantitative evaluation of structural brain MRI are essent...
Automatic segmentation using convolutional neural networks (CNNs) has become a key tool in musculosk...
BACKGROUND AND OBJECTIVE: Arterial pulse wave analysis (PWA), a tool capable of reflecting regional ...
Cervical spine fractures represent a potentially catastrophic consequence of blunt trauma. Early ide...
AIMS: Heart failure (HF), a major global health challenge, affects millions worldwide and poses subs...
BACKGROUND: Emerging digital and bioelectronic technologies are rapidly transforming interventional ...