Peripheral Artery Disease

Natural language processing identifies symptoms predicting complete coronary artery occlusion in patients with NSTEMI.

AIMS: One in 10 patients present to the emergency department (ED) with symptoms of acute coronary sy...

Automated deep learning-based arousal detection complies with ten expert scorers in unseen data.

STUDY OBJECTIVES: Automatic arousal scoring is essential for the cost-effective analysis of polysomn...

Machine Learning Analysis of Sex Differences in Cardiovascular-Kidney-Metabolic Risk Factors and Prognosis Among Patients With Moderate-to-Severe Coronary Artery Calcification: Prospective Cohort Study.

BACKGROUND: Patients with coronary artery calcification exhibit notable sex differences in clinical ...

Automated ventricular and midline segmentation in cranial ultrasound with metrology.

Ultrasound imaging through sonolucent cranial implants is an emerging modality for post-neurosurgica...

Correction to: A streamlined CMR-derived machine-learning model for estimating cardiovascular biological age: development and validation in the UK-biobank and multi-ethnic study of atherosclerosis.

The Illusion of Precision: Artificial Intelligence Cannot Yet Reliably Predict Individual Outcomes in Infrapopliteal Chronic Limb-Threatening Ischemia.

OBJECTIVE: The integration of Large Language Models (LLMs) into vascular surgery promises scalable c...

Transformer-DAPT: AI-based dynamic assessment of ischemic and bleeding risks in patients on DAPT following PCI.

Dual antiplatelet therapy (DAPT) following percutaneous coronary intervention (PCI) is traditionally...

Proposal of a familial hypercholesterolemia paediatric diagnostic score (FH-PeDS).

AIMS: Familial hypercholesterolemia (FH) significantly increases cardiovascular risk from childhood ...

[Computed tomography in cardiology: its necessity and developments].

Cardiac computed tomography angiography (CCTA) has evolved in recent years into a central pillar of ...

Beyond Lipid Lowering: Targeting lncRNAs as a Novel Therapeutic Strategy for Vascular Wall Defense in Atherosclerosis.

Atherosclerosis remains the primary pathological foundation for severe cardiovascular events. Althou...

Lipoprotein(a) and atherosclerosis risk across estimated glucose disposal rate strata: evaluating synergistic predictive utility.

BACKGROUND: High lipoprotein(a) [Lp(a)] levels and insulin resistance (IR) are both established risk...

Machine learning-based evaluation of lipid biomarkers for cardiovascular risk prediction in chronic kidney disease: A cross-sectional study.

Chronic kidney disease (CKD) is an important public health issue globally, greatly increasing the pr...

Atrial myopathy subtypes: Association with and prediction of incident atrial fibrillation-The atherosclerosis risk in communities study (ARIC).

BACKGROUND: Atrial myopathy is a heterogeneous condition associated with atrial fibrillation (AF). T...

Prevalence and burden of coronary artery disease in young adults undergoing clinically indicated coronary CT angiography.

BACKGROUND: The reported prevalence and burden of coronary artery disease in young adults varies mar...

Personalized antiplatelet therapy: are we ready for a precision medicine approach.

Dual antiplatelet therapy (DAPT), combining aspirin with a P2Y12 inhibitor, remains central to secon...

Prognostic value of preoperative CT-derived fractional flow reserve after transcatheter or surgical aortic valve replacement in patients with severe aortic stenosis.

BACKGROUND: Patients with aortic stenosis (AS) often have concomitant coronary artery disease (CAD),...

Deep learning-based treatment decision support framework for multi-vessel coronary artery disease using integrated coronary angiography and clinical data.

BACKGROUND: Treatment selection between percutaneous coronary intervention (PCI) and coronary artery...

Targeting the Gut-Heart Axis in Atherosclerosis: Microbial Metabolites, Molecular Mechanisms, and Precision Therapeutics.

Despite advances in lipid-lowering and anti-inflammatory medications, atherosclerotic cardiovascular...

Development of the CASPER-Score: A bedside tool integrating AI-based ECG analysis with key clinical predictors to identify relevant coronary artery stenosis in patients after out-of-hospital cardiac arrest.

INTRODUCTION: Out-of-hospital cardiac arrest (OHCA) is a leading cause of mortality worldwide, frequ...

Impact of Artificial Intelligence-Based Triage on Stroke Workflow Metrics: A Systematic Review and Meta-Analysis.

BACKGROUND: Artificial intelligence is an increasingly valuable tool in ischemic stroke management. ...

An online cutaneous melanoma risk screen tool.

To develop and deploy a publicly accessible online risk estimation tool for cutaneous melanoma that ...