Peripheral Artery Disease

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 clinical decision support, yet their prognostic reliability remains unproven. This study evaluates the accuracy, calibration, and stability of generative AI in predicting outcomes for Chronic Limb-Threatening Ischemia (CLTI). MATERIALS AND METHODS: In a retrospective single-center study, we evaluated...

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 guided by rule-based scores providing static, single-time-point or fixed time-interval estimates with modest discrimination (C-index 0.63-0.73), limiting individualized DAPT duration decisions. We developed Transformer-DAPT, a transformer-based deep learning survival framework designed to estimate ...

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

AIMS: Familial hypercholesterolemia (FH) significantly increases cardiovascular risk from childhood yet remains widely underdiagnosed. This cross-sect...

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

Cardiac computed tomography angiography (CCTA) has evolved in recent years into a central pillar of non-invasive cardiovascular diagnostics and is now...

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. Although guideline-directed medical therapy-particularly...

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 factors for atherosclerosis. Nevertheless, the in...

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 prevalence and mortality of cardiovascular disease (...

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). This study aimed to identify atrial myopathy subtyp...

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 markedly in published studies from the 1950s through ...

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

Dual antiplatelet therapy (DAPT), combining aspirin with a P2Y12 inhibitor, remains central to secondary prevention after acute coronary syndrome and ...

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), and coronary CTA (CCTA) is performed for anatomic...

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 bypass grafting (CABG) for multi-vessel coronary ...

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 disease (ASCVD) continues to be the leading cause...

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, frequently associated with acute coronary syndromes. Wh...

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. This systematic review and meta-analysis evaluated...

An online cutaneous melanoma risk screen tool.

To develop and deploy a publicly accessible online risk estimation tool for cutaneous melanoma that prioritizes high recall to minimize missed diagnos...

Current Advances and Navigating the Complexities of SVG-PCI.

Saphenous vein graft (SVG) percutaneous coronary intervention (PCI) remains technically challenging and clinically high risk due to the friable, throm...

Computational intelligence using nailfold videocapillaroscopy for the prediction of carotid intima-media thickness in rheumatoid arthritis: a cohort-based study.

Despite continuously evolving medical advances, CVD risk in Rheumatoid Arthritis (RA) remains paradoxically high to date. Carotid intima-media thickne...

Carotid inflammation on FDG-PET is associated with lower cognitive performance in people with treated HIV infection.

OBJECTIVES: Carotid atherosclerosis is an established risk factor for cognitive impairment. FDG-PET detects subtle inflammatory changes in the arteria...

Precision Imaging Evaluation and Clinical Application Progress of Vascular Calcification in Lower Extremity Peripheral Artery Disease.

Lower extremity peripheral artery disease (PAD) affects a large and growing population worldwide and imposes a substantial clinical burden, particular...