Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Cardiometabolic remodeling after metabolic and bariatric surgery is heterogeneous and ma...
BACKGROUND: Prostate PI-RADS category 3 lesions are indeterminate, requiring accurate tools to predi...
Accurate automatic segmentation of the gross tumor volume (GTV) in nasopharyngeal carcinoma (NPC) is...
BACKGROUND: The rising global incidence of renal tumors necessitates precise diagnostic intervention...
Accurate breast cancer classification in dynamic contrast-enhanced magnetic resonance imaging (DCE-M...
Thyroid cancer is a malignant tumor occurring in thyroid tissues, posing a significant threat to hum...
Thyroid cancer is the most prevalent endocrine malignancy, and its diagnosis relies heavily on ultra...
This single-center retrospective study evaluated longitudinal artificial intelligence (AI)-derived T...
Radiomics has shown promise for breast ultrasound lesion classification, yet reported performance is...
Lung transplantation remains the only effective treatment for end-stage pulmonary disease. However, ...
BACKGROUND: Multiparametric prostate MRI is central to prostate cancer (PCa) diagnostics, yet PI-RAD...
AIM: To provide a broad overview of the diagnostic spectrum of vertigo and dizziness syndromes in ch...
OBJECTIVE: To develop and evaluate an nnU-Net v2-based deep-learning model for fully automated multi...
The semi-quantitative assessment of brain [18F]FDG PET provides a more objective interpretation and ...
Polyethylene terephthalate (PET) hydrolase-based biodegradation offers a promising route for plastic...
Trigeminal neuralgia (TN) is a debilitating condition characterized by severe, episodic facial pain,...
RATIONALE AND OBJECTIVES: Molecular subtyping of pituitary neuroendocrine tumors (PitNETs [pituitary...
Artificial intelligence is being embedded in diagnostic radiology faster than the workflows around i...
PURPOSE: Neural controlled differential equations (NCDEs) recently emerged as a robust deep learning...
OBJECTIVE: To assess the accuracy of gestational-age estimation using an artificial intelligence (AI...
Subclinical cardiovascular abnormalities are recognized as primary risk factors for cardiovascular d...