Latest AI and machine learning research in radiology for healthcare professionals.
Systemic vascular and neurodegenerative disorders are important causes of disability and death world...
OBJECTIVES: Accurate MRI-based identification of extramural vascular invasion (EVI) and mesorectal f...
BACKGROUND: Pediatric lymphoma patients undergo multiple 18F-FDG PET/CT examinations for staging and...
BACKGROUND: Positron emission tomography (PET) is a key tool for quantitative brain imaging, but its...
OBJECTIVE: To investigate the diagnostic value of subcortical texture features from T1-weighted MRI ...
Gallbladder carcinoma, among the most prevalent malignancies of the biliary system, often presents w...
Magnetic resonance imaging-guided radiotherapy (MRIgRT) uses 2D+t cine-MRI to track intra-fractional...
OBJECTIVE: Early detection of large vessel occlusion (LVO) on non-contrast CT (NCCT) could accelerat...
RATIONALE AND OBJECTIVES: In clinical practice, the preoperative risk assessment of adrenal metastas...
Accurate evaluation of coronary intermediate lesions (50-70% stenosis) is essential for stent decisi...
In the era of artificial intelligence (AI), Alzheimer's disease (AD) can be diagnosed through magnet...
Skull base chordomas are rare, locally invasive tumors that remain a diagnostic and therapeutic chal...
PURPOSE: magnetic resonance imaging (MRI)-based radiomics has emerged as a promising approach for no...
Artificial intelligence has the potential to provide an objective, accurate and fast evaluation of t...
Sarcopenia is a progressive muscle disorder linked to aging, frailty, and increased healthcare burde...
This study evaluates large language models (LLMs) for information extraction from French PET/CT repo...
BACKGROUND: Accurate assessment of human epidermal growth factor receptor 2 (HER2) expression is ess...
BACKGROUND: Early identification of individuals at risk of dementia is essential for preventive care...
BACKGROUND: The objective of this study was to characterise the agreement of the CE-certified automa...
Computed tomography colonography, also known as virtual colonoscopy, is a minimally invasive imaging...
BACKGROUND: Deep learning (DL)-based denoising methods have shown promise for reducing radiation dos...