Peripheral Artery Disease

Optimizing Cardiovascular Risk Management in Primary Care Using a Personalized eCoach Solution Enhanced by an Artificial Intelligence-Driven Clinical Prediction Model: Protocol from the Coronary Artery Disease Risk Estimation and Early Detection Consortium.

BACKGROUND: Atherosclerotic cardiovascular disease poses a heavy burden on the population's health a...

Machine Learning-Based Analysis of Lifestyle Risk Factors for Atherosclerotic Cardiovascular Disease: Retrospective Case-Control Study.

BACKGROUND: The risk of developing atherosclerotic cardiovascular disease (ASCVD) varies among indiv...

AI-Guided Cardiac Computer Tomography in Type 1 Diabetes Patients with Low Coronary Artery Calcium Score.

Cardiovascular risk stratification based on traditional risk factors lacks precision at the individ...

Thermodynamic analysis and intelligent modeling of statin drugs solubility in supercritical carbon dioxide.

Evaluating the solubility of various drugs in supercritical CO is a fundamental step in developing a...

Machine learning-based high-benefit approach versus traditional high-risk approach in statin therapy: the Shizuoka Kokuho database study.

Statins are widely prescribed for the primary prevention of cardiovascular diseases, yet individual ...

Diabetes and longitudinal changes in deep learning-derived measures of vertebral bone mineral density using conventional CT: the Multi-Ethnic Study of Atherosclerosis.

OBJECTIVE: To investigate the longitudinal association between diabetes and changes in vertebral bon...

Carotid and femoral bifurcation plaques detected by ultrasound as predictors of cardiovascular events.

Risk factor-based algorithms give a good estimate of cardiovascular (CV) risk at the population leve...

Machine learning identification of key genes in cardioembolic stroke and atherosclerosis: their association with pan-cancer and immune cells.

BACKGROUND: Cardioembolic stroke (CS) and atherosclerosis (AS) are closely related diseases. Ferropt...

Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients.

BACKGROUND: Coronary artery disease (CAD) remains a leading cause of global mortality, with stroke c...

Predicting outcomes following endovascular aortoiliac revascularization using machine learning.

Endovascular aortoiliac revascularization is a common treatment option for peripheral artery disease...

High-throughput DeepPRM-Stellar proteomics coupled with machine learning enables precise quantification of atherosclerosis-stroke progression biomarkers and risk prediction.

Predicting the progression of asymptomatic large-artery atherosclerosis (LAA) to acute ischemic stro...

Automatic measuring of coronary atherosclerosis from medicolegal autopsy photographs based on deep learning techniques.

A diagnosis of atherosclerotic cardiovascular disease is critical importance in forensic medicine, p...

Latent Class Analysis Identifies Distinct Patient Phenotypes Associated With Mistaken Treatment Decisions and Adverse Outcomes in Coronary Artery Disease.

This study aimed to identify patient characteristics linked to mistaken treatments and major adverse...

Construction of a Machine Learning-Based Clopidogrel Resistance Risk Prediction Model.

Clopidogrel is extensively utilized for the prevention and treatment of cardiovascular, cerebrovascu...

Incidental Finding of Coronary and Non-Coronary Artery Calcium: What Do Clinicians Need To Know?

PURPOSE OF REVIEW: This review summarizes the role of incidentally and non-incidentally discovered c...

Residual capsule network with threshold convolution and attention mechanism for forest fire detection using UAV imagery.

Wildfires pose a severe threat to ecosystems, economies, and human lives, exemplified by the 2019 Au...

AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data.

Crack propagation in solder joints remains a major challenge impacting the thermo-mechanical reliabi...

Divide-and-conquer strategy with engineered ossification center organoids for rapid bone healing through developmental cell recruitment.

Current approaches for bone repair predominantly target localized delivery of growth factors that ar...

Quantitative CT Imaging in Chronic Obstructive Pulmonary Disease.

Chronic obstructive pulmonary disease (COPD) is a highly heterogeneous condition characterized by di...

Predicting carotid atherosclerosis in latent autoimmune diabetes in adult patients using machine learning models: a retrospective study.

BACKGROUND: Latent autoimmune diabetes in adults (LADA) is a slowly progressing form of diabetes wit...

From lipids and inflammation to artificial intelligence-driven therapeutics: the 93rd European atherosclerosis society (EAS) congress 2025 in focus.