Latest AI and machine learning research in atherosclerosis for healthcare professionals.
Diffuse reverberation is ultrasound image noise caused by multiple reflections of the transmitted pu...
BACKGROUND AND AIMS: Although plaque characterization by intravascular ultrasound (IVUS) is importan...
BACKGROUND AND PURPOSE: Small intracranial aneurysms are being increasingly detected while the ruptu...
BACKGROUND: Non-invasive imaging is of interest for tracking the progression of atherosclerosis in t...
Image reconstruction from radio-frequency (RF) data is crucial for ultrafast plane wave ultrasound (...
Radiomics, quantitative feature extraction from radiological images, can improve disease diagnosis a...
BACKGROUND: Coronary heart disease, heart failure (HF), and stroke are complex diseases with multipl...
Cerebral blood flow (CBF) can be measured with dynamic positron emission tomography (PET) of O-label...
Remote robotic-assisted endovascular interventions require real-time control of the robotic system t...
Robotic interventional neuroradiology is an emerging field with the potential to enhance patient saf...
PURPOSE: To report a multidisease deep learning diagnostic network (MDDN) of common corneal diseases...
PURPOSE: To evaluate the predictive usefulness of quantitative imaging biomarkers, acquired automati...
The identification, sorting and analysis of rare target single cells in human blood has always been ...
Background An artificial intelligence algorithm that detects age using the 12-lead ECG has been sugg...
In the clinical analysis of Intravascular ultrasound (IVUS) images, the lumen size is an important i...
PURPOSE: Endovascular robotics is an emerging technology within the developing field of medical robo...
The need for the estimation of the number of microbubbles (MBs) in cardiopulmonary bypass surgery ha...
Advances in deep learning technology have enabled complex task solutions. The accuracy of image clas...
Visual or manual characterization and classification of atherosclerotic plaque lesions are tedious, ...
PURPOSE: The purpose of this study is to develop and evaluate a deep learning model to assist radiol...