Cardiovascular

Atherosclerosis

Latest AI and machine learning research in atherosclerosis for healthcare professionals.

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AI-Enabled Echocardiography Identifies an Adverse Epicardial Adiposity Phenotype Associated with Cardiometabolic Dysfunction

Background: Excess epicardial adipose tissue (EAT) is associated with cardiovascular-kidney-metaboli...

Learned ultrasound segmentation and deformable CT fusion for augmented reality endovascular surgery

Minimally invasive endovascular procedures offer reduced surgical trauma, shorter recovery times, an...

Metric-Guided Synthetic Image Data Rendering for Deep Learning compatible with Agentic AI

Deep learning computer vision for scientific applications requires collecting and annotating large d...

Carotid Plaque Calcification Associates with Cardiac Morbidity, Mortality and Systemic Atherosclerotic Disease in a Sex-Specific Manner

Background Carotid plaque calcification is commonly interpreted as a marker of atherosclerotic burde...

Optimally Predicting Mortality in Patients with Abdominal Aortic Aneurysms

Abdominal aortic aneurysm (AAA) patients in the ICU represent a heterogeneous, high-risk population ...

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Integrating Physics-Informed Neural Networks and 3D Vascular Geometry Learning for Cerebral Aneurysm Detection and Multimodal Rupture-Risk Prediction

Cerebral aneurysms are localized dilations of intracranial arteries that may rupture and cause subar...

Dynamics of ML-based Morphological Features Indicate a Shear Stress-Dependent Bifurcation of hiPSC-Derived Endothelial Cell States

Cell states are increasingly conceptualized as attractors of high-dimensional dynamical systems, yet...

Monocyte-amplified transcriptional signatures of human diseases

Blood-based biomarkers discovered by machine learning often lack disease specificity and cross-popul...

Effect of initiating an ARB- versus ACEI-based regimen on dementia risk, a target trial emulation of 2.5 million US Veterans

Background: Hypertension is a modifiable risk factor for dementia, yet the comparative effectiveness...

Shape Over Intensity: Directional Topological Encoding for False Positive Reduction in Intracranial Aneurysm Detection

Automated detection of intracranial aneurysms (IAs) from CT angiography (CTA) is severely hindered b...

Association of Lacunes with Risk Factors, Cognition, and Atrophy: The Multi-Ethnic Study of Atherosclerosis (MESA)

Abstract Background: Lacunes are 3-15 mm cavities originating from small perforating artery disease ...

Association between glycated hemoglobin A1c and automated abdominal aortic calcification: the UK Biobank Imaging Study

Background: Poor glycemic control is associated with cardiovascular disease (CVD) risk. However, it ...

Topological Shape Representation for Aneurysm -- Bifurcation Detection

Automated detection of intracranial aneurysms (IAs) from CT angiography (CTA) is severely hindered b...

A Robust Machine Learning Framework for Keloid Biomarker Discovery Beyond Differential Expression

Keloids are fibroproliferative skin disorders arising following dermal injury that extend beyond the...

Intracranial Aneurysm Classification and Segmentation via Tri-Axial ROI and Multi-Task Learning

Intracranial aneurysms are often asymptomatic until rupture, which carries high mortality. Rupture r...

Clinically Aligned Geometry Constraints for Robust IVUS Vessel Boundary Segmentation

Intravascular ultrasound (IVUS) lumen and external elastic membrane (EEM) segmentation is important ...

Evaluation of AI-Generated Synthetic Data for Clinical Research in Secondary Cardiovascular Prevention among Dyslipidemia Patients

BackgroundAccess to high-quality clinical data is essential for advancing medical research and devel...

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