Latest AI and machine learning research in radiology for healthcare professionals.
OBJECTIVES: To develop a deep learning method to quantify ureter perfusion during indocyanine green ...
Purpose To develop a deep learning-enabled single breath-hold abbreviated MRI (DL-SBH-aMRI) protocol...
Purpose To develop a deep learning-based deformable registration method for breast dynamic contrast-...
BACKGROUND: While computed tomography (CT) is the preferred imaging modality for kidney stone detect...
OBJECTIVES: To assess the diagnostic potential of magnetic resonance imaging (MRI) radiomics and mac...
PURPOSE: To evaluate the segmentation performance and total metabolic tumor volume (TMTV) prediction...
OBJECTIVES: Identifying patients at risk of chemoresistant osteosarcoma enables risk-adapted managem...
Cognitive dysfunction often co-occurs with psychopathology. Advances in neuroimaging and machine lea...
BACKGROUND: Acute kidney injury critically impacts outcomes in cardiogenic shock secondary to acute ...
BACKGROUND: Explainable artificial intelligence (xAI) is increasingly used in medical imaging to enh...
OBJECTIVE: We aimed to propose a prognostic framework using a dual-branch Vision Transformer (ViT) d...
Although artificial intelligence enhances medical image classification to effectively improve lesion...
Kidney volume measurement is critical for managing polycystic kidney disease and monitoring transpla...
Ultrasound is widely used in breast cancer diagnosis due to its cost-effectiveness, non-invasiveness...
BACKGROUND: Accurate and timely disease detection is essential in modern healthcare. Conventional im...
BACKGROUND AND PURPOSE: Accurate MRI-based target delineation for hypopharyngeal squamous cell carci...
OBJECTIVES: To examine the relationship between cardiorespiratory fitness (CRF) and brain aging, and...
For identifying natural trends, hotspots, hazardous areas, and mitigating potential health risk to t...
Distinguishing pancreatic ductal adenocarcinoma (PDAC) from mass-forming pancreatitis (MFP) is chall...
Tumor stiffness and adhesion are decisive factors in neurosurgical strategy, yet they remain absent ...
PURPOSE: Advanced MRI techniques may provide non-invasive insight into the molecular heterogeneity o...