Latest AI and machine learning research in radiology for healthcare professionals.
To compare the image quality and fat attenuation index (FAI) of coronary artery CT angiography (CCTA...
OBJECTIVE: To evaluate radiation dose and image quality of a double-low CCTA protocol reconstructed ...
PURPOSE: The purpose of this study was to investigate the added value of artificial intelligence (AI...
Ultrasound imaging has shown promise in assessing synovium inflammation associated early stages of r...
PURPOSE: To evaluate the diagnosis performance of digital mammography (DM) and digital breast tomosy...
Breast imaging has several modalities, each unique in terms of its imaging position, evaluation inde...
The colloidal gold nanoparticle (AuNP)-based colorimetric lateral flow assay (LFA) is one of the mos...
OBJECTIVE: We present a model-based image reconstruction approach based on unrolled neural networks ...
The gallbladder (GB) is a small pouch and a deep tissue placed under the liver. GB Cancer (GBC) is a...
Pediatric head trauma is a significant cause of morbidity and mortality, with children, particularly...
PURPOSE: Retrospectively compare image quality, radiologist diagnostic confidence, and time for imag...
Lung cancer is the most common causes of death among all cancer-related diseases. A lung scan examin...
Atherosclerosis causes heart disease by forming plaques in arterial walls. IVUS imaging provides a h...
Radiologists' traditional role in the diagnostic process is to respond to specific clinical question...
BACKGROUND: Recent advances in multivariate pattern recognition have fostered the search for reliabl...
BACKGROUND: In MR-guided in-bore percutaneous needle interventions, typically 2D interactive real-ti...
Generative artificial intelligence (AI) and large language models (LLMs) are increasingly being reco...
Artificial intelligence (AI) and image processing are revolutionising the diagnosis and management o...
Chronic Obstructive Pulmonary Disease (COPD) represents a global public health issue that significan...
OBJECTIVE: This study explores radiology program directors' perspectives on the impact of large lang...
OBJECTIVE: Performing obstetric ultrasound scans is challenging for inexperienced operators; therefo...