Latest AI and machine learning research in atherosclerosis for healthcare professionals.
BACKGROUND: Disruption of the endothelial glycocalyx (EG) is associated with a poor prognosis in var...
Autonomous grounded vehicle-based social assistance/service robot parking in an indoor environment i...
Vector flow imaging is a diagnostic ultrasound modality that is suited for the visualization of comp...
Machine learning (ML) models are being actively used in modern medicine, including neurosurgery. Thi...
We have employed artificial intelligence to streamline the small molecule drug screening pipeline an...
To develop a combinatorial artificial-neural-network design-of-experiment (ANN-DOE) model, the effec...
Data curation is a bottleneck for many informatics pipelines. A specific example of this is aggregat...
OBJECTIVE: The clinical ability of radiomics to predict intracranial aneurysm rupture risk remains u...
OBJECTIVE: We developed and evaluated the accuracy and reliability of a convolutional neural network...
Inhibition of pathological angiogenesis has become one of the first FDA approved targeted therapies ...
There is a lack of objective features for the differential diagnosis of unipolar and bipolar depress...
Artificial intelligence (AI) has the potential to transform healthcare, but its clinical use also ha...
Background Statins are guideline-recommended medications that reduce cardiovascular events in patien...
The rising prevalence of childhood obesity and dyslipidaemia is a major public health concern due t...
BACKGROUND: Endovascular thrombectomy (EVT) duration is an important predictor for neurological outc...
BACKGROUND: Minimally invasive vascular intervention (MIVI) is a powerful technique for the treatmen...
Background Studies have rarely investigated stenosis detection from head and neck CT angiography sca...
The aim of this study was to evaluate the feasibility of a noninvasive and low-operator-dependent im...
Identifying the cerebral arterial branches is essential for undertaking a computational approach to ...
Machine learning methods are widely used within the medical field. However, the reliability and effi...
OBJECTIVE: In the management of the aortic aneurysm, 4D flow magnetic resonance Imaging provides val...