Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: To develop and validate an AI method for automated quantification of whole-skeleton bone ma...
OBJECTIVE: Recent advancements in deep learning have shown significant potential in ultrasound imagi...
BACKGROUND AND OBJECTIVE: Ultrasound super-resolution imaging (SRI) enables the visualization of mic...
OBJECTIVE: The aim of this study was to evaluate our first experience with the use of the artificial...
OBJECTIVE: This study aims to develop and validate an integrated multi-task framework for hepatocell...
Osteoarthritis (OA) affects over 500 million people globally and poses diagnostic and management cha...
Background: Examination protocoling is a resource-intensive task. Various artificial intelligence (A...
Ultrasound imaging modality, which operates by transmitting and receiving short ultrasound pulses, o...
BACKGROUND: The illegal smuggling of exotic pet beetles presents a growing threat to global ecosyste...
PURPOSE: Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited...
PURPOSE: To develop and evaluate a deep learning model that integrates ultra-widefield fundus photog...
PURPOSE: NHOC and NHOP, defined as the normalized distances from peak uptake to tumour centroid and ...
Dynamic magnetic resonance imaging (MRI) often encounters a trade-off between spatial and temporal r...
Detecting ovarian structures in ultrasound images is essential in gynecological and reproductive med...
OBJECTIVES: Artificial intelligence (AI) promises to accelerate and democratize medical imaging, yet...
PURPOSE: To evaluate whether quantitative diffusion-weighted magnetic resonance imaging derived appa...
PURPOSE: To develop and validate DeepMocor, a deep learning-based method for motion-compensated 4-di...
OBJECTIVES: High-resolution vessel wall imaging (HR-VWI) is essential for diagnosing vulnerable intr...
PURPOSE: The PET Response Criteria in Solid Tumours (PERCIST) 1.0 provides a standardized framework ...
PURPOSE: Despite the rapid development of artificial intelligence (AI)-powered automated segmentatio...
OBJECTIVE: To assess whether accelerated knee MRI protocols using simultaneous multi-slice (SMS) and...