Latest AI and machine learning research in radiology for healthcare professionals.
OBJECTIVES: To investigate the usefulness of machine learning (ML) models using pretreatment F-FDG-P...
Liver vessel segmentation in magnetic resonance imaging data is important for the computational anal...
PURPOSE: To investigate attitudes and perspectives on the use of artificial intelligence (AI) in the...
PURPOSE: To explore the value of deep learning-based multi-parametric magnetic resonance imaging (mp...
RATIONALE AND OBJECTIVES: This study aimed to construct a machine learning radiomics-based model usi...
Chemical exchange saturation transfer (CEST) MRI is a molecular imaging tool that provides physiolog...
One big challenge with high-intensity focused ultrasound (HIFU) is that the intense acoustic interfe...
Accurate detection of cartilage lesions of the knee is required to offer patient-specific care and c...
BACKGROUND: Accurate measurement of ureteral diameters plays a pivotal role in diagnosing and monito...
BACKGROUND: To explore whether the combination of dynamic contrast-enhanced (DCE) magnetic resonance...
PURPOSE: The assessment of vulnerable plaque characteristics and distribution is important to strati...
Thoracic aorta calcium (TAC) can be assessed from cardiac computed tomography (CT) studies to improv...
We demonstrate an adaptation of deep learning for label-free imaging of the micro-scale lymphatic ve...
Attention deficit hyperactivity disorder (ADHD) is a common mental health condition that significant...
. Precise hepatocellular carcinoma (HCC) detection is crucial for clinical management. While studies...
Generally, due to a lack of explainability, radiomics based on deep learning has been perceived as a...
Chest disease refers to a wide range of conditions affecting the lungs, such as COVID-19, lung cance...
Source attribution has traditionally involved combining epidemiological data with different pathogen...
OBJECTIVES: Current coronary CT angiography (CTA) guidelines suggest both end-systolic and mid-diast...
BACKGROUND: Quantitative coronary angiography (QCA) offers objective and reproducible measures of co...
RATIONALE AND OBJECTIVES: To assess image quality, contrast volume and radiation dose reduction pote...