Latest AI and machine learning research in atherosclerosis for healthcare professionals.
Genome-wide association studies have linked millions of genetic variants to biomedical phenotypes, b...
While total intracranial carotid artery calcification (ICAC) volume is an established stroke bioma...
The analysis of carotid arteries, particularly plaques, in multi-sequence Magnetic Resonance Imagi...
In this work, we study the problem pertaining to personalized classification of subclinical athero...
Image denoising is a fundamental task in computer vision, particularly in medical ultrasound (US) ...
Aims: To develop a deep-learning (DL) framework that will allow fully automated longitudinal and c...
The complex interplay between tumor cells and clusters with endothelial tissues during metastasis, i...
Background: In vitro endothelial cell culture is widely used to study angiogenesis. Histomicrograp...
Introduction: Deep learning (DL) models can help detect intracranial aneurysms on CTA, but high fa...
OBJECTIVE: Endoscopic endonasal transsphenoidal surgery (EETS) is a minimally invasive procedure tha...
OBJECTIVE: The aim of this study was to address the limitations of traditional aneurysm risk scoring...
Purpose To develop and evaluate a novel multitask deep learning framework for automated detection an...
Advancements in coronary computed tomography angiography (CCTA) facilitated the transition from trad...
Artificial intelligence (AI), particularly deep learning, has demonstrated high diagnostic performan...
BACKGROUND AND OBJECTIVES: Embolic protection devices (EPDs) used during carotid artery stenting (CA...
AIMS: Coronary computed tomography angiography (CCTA) and magnetic resonance imaging (MRI) can predi...
AIMS: Artificial intelligence (AI) has enabled accurate and fast plaque quantification from coronary...
Accurate carotid plaque grading (CPG) is vital to assess the risk of cardiovascular and cerebrovas...
AIMS: Coronary computed tomography angiography (CCTA) is a first-line investigation for chest pain i...
Clinical laboratory results are ubiquitous in any diagnosis making. Predicting abnormal values of ...
Synthetic data generation plays a crucial role in medical research by mitigating privacy concerns ...