Latest AI and machine learning research in radiology for healthcare professionals.
Cardiac magnetic resonance imaging (CMR) is the gold standard for cardiac function assessment and pl...
RATIONALE AND OBJECTIVES: To build a risk stratification by incorporating PET/CT-based deep learning...
PURPOSE: To compare computed tomography (CT) pulmonary angiography and unenhanced CT to determine th...
BACKGROUND: Magnetic resonance imaging [MRI] findings in Neuromyelitis optica spectrum disorder [NMO...
The current thyroid ultrasound relies heavily on the experience and skills of the sonographer and th...
The non-perfusion area (NPA) of the retina is an important indicator in the visual prognosis of pati...
OBJECTIVE: To evaluate variability in aneurysm detection and the potential of artificial intelligenc...
. Recently, deep learning models have been used to reconstruct parallel magnetic resonance (MR) imag...
Despite a half-century of advancements, global magnetic resonance imaging (MRI) accessibility remain...
For high-frame-rate ultrasound imaging, it remains challenging to implement on compact systems as a ...
OBJECTIVE: Deep learning (DL) MRI reconstruction enables fast scan acquisition with good visual qual...
The accurate selection of the ultrasound plane for the fetal head and pubic symphysis is critical fo...
To assess the impact of low-dose contrast media (CM) injection protocol with deep learning image rec...
With the increasing dominance of artificial intelligence (AI) techniques, the important prospects fo...
OBJECTIVES: This study focuses on artificial intelligence (AI)-assisted analysis of alveolar bone fo...
The forefront of micro- and nanorobot research involves the development of smart swimming micromachi...
. Current lung cancer screening protocols primarily evaluate pulmonary nodules, yet often neglect th...
In this study, our objective was to assess the performance of two deep learning-based hippocampal se...
BACKGROUND: Magnetic resonance imaging (MRI) is the gold standard for delineating cancerous lesions ...
PURPOSE: Sequential PET/CT studies oncology patients can undergo during their treatment follow-up co...
OBJECTIVE: To perform image quality comparison between deep learning-based multiband diffusion-weigh...