Cardiovascular

Peripheral Artery Disease

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

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Showing 631-651 of 7,053 articles
Prediction and quantifying parameter importance in simultaneous anaerobic sulfide and nitrate removal process using artificial neural network.

The present investigation deals with the prediction of the performance of simultaneous anaerobic sul...

Dec 2014 25523291
Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population.

OBJECTIVE: We aimed to investigate if early revascularization in patients with suspected coronary ar...

Dec 2014 25480110
Variability of automated carotid intima-media thickness measurements by novice operators.

Carotid intima-media thickness (C-IMT) measurements provide a non-invasive assessment of subclinical...

Sep 2014 25216303
Association of a polygenic risk score with coronary atherosclerotic burden in clinical CT angiograms

Background: Polygenic risk scores (PRS) for coronary artery disease (CAD) are associated with cardio...

CNNs, Transformers, Hybrid, and Vision Language Models for Skin Cancer Detection

Skin cancer is a common and fast rising malignancy worldwide. Early detection is critical for improv...

A CUBS-Compatible Ultrasound Morphology and Uncertainty-Aware Baseline for Carotid Intima-Media Segmentation and Preliminary Risk Prediction

Carotid atherosclerosis is a major contributor to ischemic stroke and transient ischemic attack. Con...

Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations

High-throughput affinity-based proteomics has advanced biomedical research, yet fundamental, persist...

Pose-Aware Diffusion for 3D Generation

Generating pose-aligned 3D objects is challenging due to the spatial mismatches and transformation a...

Automatic deep learning-based segmentation and quantification of stented arterial cross-sections for morphometric analysis

Arterial vascular diseases, such as atherosclerosis, are among the most serious global health threat...

Comparison of the Expert Guidelines With Artificial Intelligence-Driven Echocardiographic Assessment of Diastolic Function

Backgound: Accurate assessment of diastolic function and left ventricular (LV) filling pressure is c...

Liver Biomarker Improves AHA/ACC 10-year ASCVD Risk Prediction in US and China Cohorts with ML

Introduction: Accurate stratification of hard atherosclerotic cardiovascular disease (ASCVD) risk re...

PAD-Hand: Physics-Aware Diffusion for Hand Motion Recovery

Significant advancements made in reconstructing hands from images have delivered accurate single-fra...

CARDIAC-FM: A Multimodal Foundation Model for Cardiovascular Risk Prediction Using ECG and Cardiac MRI

Atrial fibrillation and heart failure impose substantial health burdens worldwide, yet existing pred...

Generalist Multimodal LLMs Gain Biometric Expertise via Human Salience

Iris presentation attack detection (PAD) is critical for secure biometric deployments, yet developin...

Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data

Accurate diagnosis of Alzheimer's disease (AD) requires handling tabular biomarker data, yet such da...

Trustworthy Koopman Operator Learning: Invariance Diagnostics and Error Bounds

Koopman operator theory provides a global linear representation of nonlinear dynamics and underpins ...

Longitudinal immune transcriptomic signatures are associated with carotid intima-media thickness over 18 years

Background. Atherosclerosis is increasingly recognized as a chronic immunometabolic disorder involvi...

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