Cardiovascular

Atherosclerosis

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

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Showing 169-189 of 3,666 articles
A potential supplemental indication of dipyridamole for contraception: Dipyridamole inhibits mouse sperm fertilization capacity in vitro.

The inhibition of sperm cAMP and ATP levels, using an FDA-approved medication, may impair sperm moti...

Machine learning-based prediction of LDL cholesterol: performance evaluation and validation.

OBJECTIVE: This study aimed to validate and optimize a machine learning algorithm for accurately pre...

Can small dense LDL cholesterol be estimated from the lipid profile?

PURPOSE OF REVIEW: Small dense low-density lipoprotein cholesterol (sdLDL-C) is recognized for its s...

Reinforcement learning for safe autonomous two-device navigation of cerebral vessels in mechanical thrombectomy.

PURPOSE: Autonomous systems in mechanical thrombectomy (MT) hold promise for reducing procedure time...

A domain adaptation model for carotid ultrasound: Image harmonization, noise reduction, and impact on cardiovascular risk markers.

Deep learning has been used extensively for medical image analysis applications, assuming the traini...

The Influence of an AI-Driven Personalized Nutrition Program on the Human Gut Microbiome and Its Health Implications.

Personalized nutrition programs enhanced with artificial intelligence (AI)-based tools hold promisi...

AI-Quantitative CT Coronary Plaque Features Associate With a Higher Relative Risk in Women: CONFIRM2 Registry.

BACKGROUND: Coronary plaque features are imaging biomarkers of cardiovascular risk, but less is know...

Comparing machine learning models for osteoporosis prediction in Tibetan middle aged and elderly women.

The aim of this study was to establish the optimal prediction model by comparing the prediction effe...

Quantifying the Unknowns of Plaque Morphology: The Role of Topological Uncertainty in Coronary Artery Disease.

This article aimed to explore topological uncertainty in medical imaging, particularly in assessing ...

Role of physics-informed constraints in real-time estimation of 3D vascular fluid dynamics using multi-case neural network.

Numerical simulations of fluid dynamics in tube-like structures are important to biomedical research...

Distinguishing severe sleep apnea from habitual snoring using a neck-wearable piezoelectric sensor and deep learning: A pilot study.

This study explores the development of a deep learning model using a neck-wearable piezoelectric sen...

Predicting Long-Term Survival after Endovascular Aneurysm Repair Using Machine Learning-Based Decision Tree Analysis.

ObjectiveEndovascular aneurysm repair (EVAR) has become a preferred method for treating abdominal ao...

Artificial intelligence system for predicting hand-foot skin reaction induced by vascular endothelial growth factor receptor inhibitors.

Hand-foot skin reaction (HFSR) is a common adverse effect of vascular endothelial growth factor rece...

Machine learning for predicting metabolic-associated fatty liver disease including NHHR: a cross-sectional NHANES study.

OBJECTIVE: Metabolic - associated fatty liver disease (MAFLD) is a common hepatic disorder with incr...

Combining artificial intelligence assisted image segmentation and ultrasound based radiomics for the prediction of carotid plaque stability.

PURPOSE: Utilizing artificial intelligence (AI) technology for the segmentation of plaques on ultras...

Real time artificial intelligence assisted carotid artery stenting: a preliminary experience.

BACKGROUND: Neurointerventionalists must pay close attention to multiple devices on multiple screens...

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