Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: The purpose of this study is to develop and validate a 3D deep learning model that predicts...
Significant advances in imaging analysis and the development of high-throughput methods that can ext...
For the clinical assessment of cardiac vitality, time-continuous tomographic imaging of the heart is...
BACKGROUND: Computed tomography (CT) reports record a large volume of valuable information about pat...
Transcranial magnetic stimulation (TMS) is a non-invasive neurostimulation technique that is increas...
Diffusion MRI studies consistently report group differences in white matter between individuals diag...
The neural network algorithm of deep learning was applied to optimize and improve color Doppler ultr...
PURPOSE: Positron emission tomography (PET) imaging with various tracers is increasingly used in Alz...
Radiomics has shown remarkable potential for predicting the survival outcome for various types of ca...
Cardiovascular computed tomography (CT) is among the most active fields with ongoing technical innov...
Risk assessment in coronary artery disease plays an essential role in the early identification of hi...
Ultrasound sound-speed tomography (USST) has shown great prospects for breast cancer diagnosis due t...
Quantitative ultrasound (QUS) can reveal crucial information on tissue properties, such as scatterer...
A subset of primary central nervous system lymphomas (PCNSL) are difficult to distinguish from gliob...
The clinical application of the artificial intelligence-assisted system in imaging was investigated ...
The purpose of this paper is to explore the impact of magnetic resonance imaging (MRI) image feature...
There was an investigation of the auxiliary role of convolutional neural network- (CNN-) based magne...
This research aimed to evaluate the right ventricular segmentation ability of magnetic resonance ima...
PURPOSE: The 2020 edition of these Data Challenges was organized by the French Society of Radiology ...
Attenuation correction remains a challenge in pelvic PET/MRI. In addition to the segmentation/model-...
Diffusion tensor magnetic resonance electrical impedance tomography (DT-MREIT) is a newly developed ...