Latest AI and machine learning research in radiology for healthcare professionals.
The basis of disorders of consciousness is the destruction of brain functional connectivity, and the...
PURPOSE: To develop and validate a non-invasive magnetic resonance imaging (MRI)-based deep learning...
BACKGROUND: 4D flow MRI facilitates quantification of cardiac phase-resolved blood velocity vector f...
The exponential growth of medical data and complexity in Pulmonary and Critical Care Medicine (PCCM)...
OBJECTIVES: To develop an AI model using ultrasound features of carotid plaque for predicting the ri...
OBJECTIVE: To evaluate the performance of a commercial artificial intelligence (AI) software in dete...
Rapid and reliable detection of kidney stones on non-contrast abdominal CT is essential for timely d...
Climate change is driving increased cardiovascular risk and demand for medical imaging. While cardio...
PURPOSE: Assess impact of artificial intelligence (AI) on radiologists' detection of cancer on digit...
BACKGROUND AND AIMS: Gambling disorder (GD) patients continue to gamble despite negative consequence...
OBJECTIVES: Artificial intelligence (AI) applications in radiology may improve clinical outcomes, bu...
RATIONALE AND OBJECTIVES: This study aims to evaluate whether radiomics methods used on breast mammo...
RATIONALE AND OBJECTIVES: The non-invasive biomarkers for predicting progression-free survival (PFS)...
Pericoronary adipose tissue (PCAT) is increasingly recognised as a biosensor of vascular inflammatio...
OBJECT: To develop and evaluate a multi-stage computer-aided determination (CAD) method for automate...
BACKGROUND: Angiography is the gold standard for assessing the relationship between cerebral arterie...
Patients with Hashimoto's thyroiditis (HT) frequently present with concurrent nodular lesions such a...
PURPOSE: Hypervascular pancreatic ductal adenocarcinoma (PDAC) and mass-forming pancreatitis (MFP) r...
Fat-containing soft-tissue tumors encompass a broad spectrum of entities, ranging from indolent lipo...
PURPOSE: To develop and validate deep leaning-based machine learning models using longitudinal multi...
BACKGROUND: To investigate the radiomics features of the hippocampus and the amygdala subregions in ...