Cardiovascular

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

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Preoperative BOLD cerebrovascular reactivity correlates with intraoperative STA-MCA bypass flow and influences postoperative CVR improvement.

INTRODUCTION: The superficial temporal artery-middle cerebral artery (STA-MCA) flow augmentation byp...

Hemostatic Activation Markers and Early Neurological Deterioration in Branch Atheromatous Disease-Related Stroke.

AIMS: Branch atheromatous disease (BAD)-related stroke, caused by atherosclerotic occlusion at the o...

Adherence to SVS Abdominal Aortic Aneurysm Guidelines Among Pati ents Detected by AI-Based Algorithm.

OBJECTIVES: This study evaluates adherence to the latest Society for Vascular Surgery (SVS) guidelin...

Reduced blood EPAC1 protein levels as a marker of severe coronary artery disease: the role of hypoxic foam cell-transformed smooth muscle cells.

BACKGROUND: Vascular smooth muscle cells loaded with cholesterol (foam-VSMCs) play a crucial role in...

Splenic and portal venous flow associated with frailty and sarcopenia in older outpatients with cardiovascular disease.

BACKGROUND: Older patients with cardiovascular disease often experience frailty and sarcopenia. We e...

Mitral annular plane systolic excursion to left atrial volume ratio - a strainless relation with left ventricular filling pressures.

Left atrial reservoir strain (LASr) offers diagnostic and prognostic value in patients with heart fa...

Can ChatGPT accurately detect atrial fibrillation using smartwatch ECG?

BACKGROUND: Current guidelines require physician confirmation for smartwatch-diagnosed atrial fibril...

A correlational study of plasma galectin-3 as a potential predictive marker of postoperative delirium in patients with acute aortic dissection.

This study aimed to demonstrate whether plasma galectin-3 could predict the development of postopera...

Deep learning segmentation of periarterial and perivenous capillary-free zones in optical coherence tomography angiography.

SIGNIFICANCE: Automated segmentation of periarterial and perivenous capillary-free zones (CFZs) in o...

Association of Physical Activity from Wearable Devices and Chronic Disease Risk: Insights from the All of Us Research Program.

Physical activity is a modifiable factor influencing chronic disease risk. Previous studies often re...

Exploring artificial intelligence methods for cardiac syncope diagnosis combined with electrocardiogram parameters and clinical characteristics.

BACKGROUND: Cardiac syncope can be life-threatening, but there is no clinical tool for initial scree...

Artificial Intelligence in the Management of Heart Failure.

Artificial intelligence (AI) has the potential to revolutionize the management of heart failure. AI-...

Mechanisms and Applications of Apolipoproteins and Apolipoprotein Mimetic Peptides: Common Pathways in Cardiovascular Disease and Cancer.

Apolipoproteins are the defining functional component of lipoproteins and play critical roles in lip...

Enhancing ECG Classification in Cardiac Diagnostics: A Novel Approach Using Adaptive Focal Cross-Entropy Loss Function.

Heart disease is the leading cause of mortality globally. Electrocardiograms (ECGs) are standard ins...

Role of Mobile Health and Wearable Devices in Cardiovascular Disease Prevention: A Comprehensive Review.

Cardiovascular disease (CVD) is a leading cause of death worldwide. A key area of interest in CVD pr...

Speckle pattern analysis with deep learning for low-cost stroke detection: a phantom-based feasibility study.

SIGNIFICANCE: Stroke is a leading cause of disability worldwide, necessitating rapid and accurate di...

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