Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: Ultra-low-field (ULF) MRI provides a cost-effective, portable imaging option but has relati...
RATIONALE AND OBJECTIVES: This study aimed to quantitatively characterize the heterogeneity of Trans...
BACKGROUND AND PURPOSE: To develop a comprehensive multi-modal framework for assessing the rupture r...
BACKGROUND: Precision theranostics in nuclear medicine requires reproducible, calibrated quantificat...
BACKGROUND: Left atrioventricular coupling index (LACI) has emerged as a prognostic biomarker, but i...
PURPOSE: Non-mass enhancement (NME) in breast magnetic resonance imaging (MRI) is a diagnostically c...
OBJECTIVE: Gliomas are heterogeneous brain tumors with variable biology and treatment response. Accu...
Paediatric oncology relies heavily on medical imaging for diagnosis, treatment planning, and longitu...
BACKGROUND: Computed tomography pulmonary angiography (CTPA) is the standard imaging modality for di...
BACKGROUND: Failure of conventional imaging to detect pancreatic ductal adenocarcinoma (PDA) at its ...
Diffusing capacity for carbon monoxide (DLCO) reflects pulmonary gas exchange efficiency, but its me...
OBJECTIVES: Mammographic density is associated with increased risk of developing breast cancer. Auto...
Artificial intelligence-based computer-aided diagnosis (CADx) systems have seen growing adoption in ...
The noise of Magnetic Resonance Imaging (MRI) poses challenges for Deep Learning (DL) when tumor bou...
Chronic liver disease (CLD) and subsequent liver cirrhosis (LC) are common causes of death and healt...
Lung ultrasound (LUS) is increasingly utilized for diagnosing pediatric pneumonia due to its bedside...
Long axial field-of-view (AFOV) PET-CT instruments have significantly higher sensitivity than conven...
Cine cardiac magnetic resonance imaging (MRI) is the gold standard for cardiac function assessment, ...
BACKGROUND: Coronary computed tomography angiography (CTA) with analysis by artificial intelligence ...
CONTEXT: Incidental thyroid findings (ITFs) are increasingly detected on imaging performed for non-t...
PURPOSE: To assess the extent to which large language models (LLMs) amplify or attenuate inaccurate ...