Latest AI and machine learning research in radiology for healthcare professionals.
Growing evidence indicates that disruption of the microbiota-gut-brain (MGB) axis is a key factor in...
BACKGROUND: Degenerative cervical myelopathy (DCM) is the leading cause of spinal cord impairment wo...
Active surveillance (AS) is widely used for men with low-risk and selected favorable intermediate-ri...
BACKGROUND AND PURPOSE: Alzheimer's disease, a common type of dementia, gradually steals memories an...
PURPOSE: A deep learning algorithm for contrast amplification in brain MRI, trained exclusively on a...
RATIONALE AND OBJECTIVES: Transarterial radioembolization (TARE) is increasingly used for patients w...
Pulmonary tumor diagnosis with ultrasound is clinically valuable yet technically challenging. Althou...
OBJECTIVE: Artificial intelligence (AI) is increasingly integrated into radiology, but pediatric ima...
Gliomas are the most common primary malignant tumors of the central nervous system and show marked i...
PURPOSE: This study aimed to evaluate the performance of deep learning-based super-resolution ultras...
OBJECTIVES: To develop and internally validate a radiology-centered machine-learning model using pre...
OBJECTIVE: To develop and evaluate deep learning models for upper abdominal ultrasound standard sect...
BACKGROUND: Artificial intelligence applications are expanding in medicine, yet the efficacy of arti...
PURPOSE: This study aimed to determine if an integrated structured reporting (SR) tool incorporating...
BACKGROUND: Artificial intelligence (AI) can improve stroke imaging workflows, but its computational...
Adrenal incidentalomas are frequently detected on abdominal imaging and require evaluation for malig...
Mycorrhizal fungi form essential symbiotic relationships with plant roots, facilitating nutrient exc...
OBJECTIVE: To evaluate a machine learning (ML) model that integrates clinical data and 2-deoxy-2-[18...
BACKGROUND AND PURPOSE: Traditional imaging methods, like CT angiography (CTA), are unable to visual...
PURPOSE: To identify signal and spatial biomarkers in the lumbar vertebrae of individuals with and w...
OBJECTIVES: Carotid atherosclerosis is an established risk factor for cognitive impairment. FDG-PET ...