Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Placenta Accreta Spectrum is a leading cause of maternal morbidity and mortality and is ...
RATIONALE AND OBJECTIVES: Locally advanced cervical cancer (LACC) remains a major cause of cancer-re...
BACKGROUND: Timely and highly accurate diagnoses by physicians play a crucial role in improving the ...
Cardiac magnetic resonance imaging (MRI) plays a critical role in diagnosing cardiovascular diseases...
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia worldwide and is associated...
INTRODUCTION: The implementation of imaging features in administrative databases and electronic heal...
AIMS: Cardiac remodeling drives heart failure (HF), yet microstructural drivers in human tissue rema...
PURPOSE: Preoperative differentiation of hepatocellular carcinoma (HCC), intrahepatic cholangiocarci...
Fibroadenoma is the most common benign fibroepithelial lesion of the breast; it occurs most frequent...
PURPOSE: Anatomy image-driven lung function imaging methods have been explored for thoracic radiothe...
BACKGROUND: Age-related structural and functional remodeling of the heart and vessels increases card...
Fluorodeoxyglucose PET/computed tomography plays a central role in the management of melanoma and so...
Large language models (LLMs) are increasingly explored in radiology, yet concerns persist regarding ...
PURPOSE: Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative imaging, but high-resolu...
Radiology occupational safety has historically centred on radiation protection. Although radiation s...
Purpose To characterize Predetermined Change Control Plan (PCCP) adoption and documentation transpar...
Purpose To evaluate anatomy-specific diagnostic performance of CT angiography-based artificial intel...
Purpose To develop and evaluate a new deep learning-based risk model that explicitly captures bilate...
OBJECTIVE: To evaluate the diagnostic performance and image quality of four accelerated knee MRI pro...
Accurate and early detection of breast cancer in screening mammography remains a critical challenge ...
BACKGROUND: Artificial intelligence (AI) has revolutionized interventional pulmonology (IP) by enhan...