Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: The natural history of intracranial dural arteriovenous fistula (DAVF) is variable and e...
BACKGROUND: Fractional flow reserve (FFR) represents the gold standard in guiding the decision to pr...
Analyses of complex behaviors of Cerebrospinal Fluid (CSF) have become increasingly important in dis...
Skin microvasculature is vital for human cardiovascular health and thermoregulation, but its imaging...
OBJECTIVES: The roles of magnetic resonance imaging (MRI) -based radiomics approach and deep learnin...
Brain tumor detection in clinical applications is a complex and challenging task due to the intricat...
: This study aims to assess whole-mount Gleason grading (GG) in prostate cancer (PCa) accurately usi...
OBJECTIVES: Radiomics, a recently developed image-processing technology, holds potential in medical ...
BACKGROUND: Medical imaging segmentation is the use of image processing techniques to expand specifi...
INTRODUCTION: Radiology scoring systems are critical to the success of lung cancer screening (LCS) p...
PURPOSE: This study investigated imaging biomarkers derived from PSMA-PET acquired pre- and post-met...
In positron emission tomography (PET) and X-ray computed tomography (CT), reducing radiation dose ca...
Although quantitative analysis of biological images demands precise extraction of specific organelle...
Advances in imaging and artificial intelligence (AI) have revolutionized the detection, quantificati...
Our objective was to develop and evaluate the clinical feasibility of deep-learning-based synthetic ...
AIM: Exercise stress ECG is a common diagnostic test for stable coronary artery disease, but its sen...
BACKGROUND: Transcranial sonography (TCS) plays a crucial role in diagnosing Parkinson's disease. Ho...
BACKGROUND: The present study aims to evaluate the postprocessing image quality of a deep-learning (...
OBJECTIVES: Reducing gadolinium-based contrast agents to lower costs, the environmental impact of ga...
The process of brain tumour segmentation entails locating the tumour precisely in images. Magnetic R...
Tuberculous meningitis (TBM) is the most lethal form of tuberculosis. Clinical features, such as com...