Cardiovascular

Peripheral Artery Disease

Latest AI and machine learning research in peripheral artery disease for healthcare professionals.

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Showing 43-63 of 7,574 articles
Association between atherogenicity indices and prediabetes: a 5-year retrospective cohort study in a general Chinese physical examination population.

BACKGROUND AND OBJECTIVE: Atherogenicity indices have emerged as promising markers for cardiometabol...

A machine learning model using echocardiographic myocardial strain to detect myocardial ischemia.

Coronary functional assessment plays a critical role in guiding decisions regarding coronary revascu...

Cardiovascular imaging in 2024: review of current research and innovations.

Cardiovascular imaging saw significant advancements in 2024, impacting technology, pathophysiology, ...

Dynamic Predictive Models of Cardiogenic Shock in STEMI: Focus on Interventional and Critical Care Phases.

: While early risk stratification in STEMI is essential, the threat of cardiogenic shock (CS) persis...

Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets.

Coronary artery disease (CAD) is a leading cause of death globally. Antiplatelet therapy remains cru...

Circulating fibroblast growth factor 21 is associated with blood pressure in the Chinese population: a community-based study.

BACKGROUND: Our research team previously found that fibroblast growth factor (FGF) 21, a circulating...

Serum sclerostin as a marker of microvascular and macrovascular complications among children and adolescents with type 1 diabetes mellitus.

BACKGROUND: Uncontrolled diabetes mellitus (DM) accelerates atherosclerosis and vascular diseases, l...

Iron-dependent lysosomal LDL oxidation induces the expression of scavenger receptor A in human THP-1 monocytes.

Atherosclerosis leading to cardiovascular diseases remains a dominant medical problem. In the early ...

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...

Long-Term Outcomes and Major Adverse Limb Events in Claudicants Undergoing Iliac Artery Stenting Versus Superficial Femoral Artery Stenting.

OBJECTIVE: Iliac artery and superficial femoral artery (SFA) stenting are common procedures to relie...

In utero heat stress compromises whole-body growth and mammary development from postweaning through puberty.

Late-gestation in utero heat stress derails organ development and growth, leading to reduced first-l...

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...

Using machine learning models to predict post-revascularization thrombosis in PAD.

BACKGROUND: Graft/ stent thrombosis after lower extremity revascularization (LER) is a serious compl...

Invited Article: Al guided Dual Antiplatelet Therapy and Anticoagulation.

Artificial intelligence (AI) has emerged as a transformative tool in healthcare through data analysi...

Advancing cardiovascular care through actionable AI innovation.

Despite significant advances, the prevention and management of cardiovascular disease remain challen...

Transfer learning of multicellular organization via single-cell and spatial transcriptomics.

Biological tissues exhibit complex gene expression and multicellular patterns that are valuable to d...

Machine Learning-Based Prediction of Unplanned Readmission Due to Major Adverse Cardiac Events Among Hospitalized Patients with Blood Cancers.

BackgroundHospitalized patients with blood cancer face an elevated risk for cardiovascular diseases ...

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