Cardiovascular

Evaluation of antiarrhythmia drug through QSPR modeling and multi criteria decision analysis.

This study explores how topological indices (TIs), which are mathematical descriptors of a drug's mo...

Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images.

Brain stroke is an illness which affects almost every age group, particularly people over 65. There ...

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...

Identification and validation of hub genes related to neutrophil extracellular traps-mediated cell damage and immune recruitment during abdominal aortic aneurysm.

Previous research has shown that the formation of Neutrophil Extracellular Traps (NETs), mediated by...

Current Landscape and Future Directions Regarding Generative Large Language Models in Stroke Care: Scoping Review.

BACKGROUND: Stroke has a major impact on global health, causing long-term disability and straining h...

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...

Reducing bias in coronary heart disease prediction using Smote-ENN and PCA.

Coronary heart disease (CHD) is a major cardiovascular disorder that poses significant threats to gl...

Multivideo Models for Classifying Hand Impairment After Stroke Using Egocentric Video.

OBJECTIVES: After stroke, hand function assessments are used as outcome measures to evaluate new reh...

Artificial Intelligence Iterative Reconstruction Algorithm Combined with Low-Dose Aortic CTA for Preoperative Access Assessment of Transcatheter Aortic Valve Implantation: A Prospective Cohort Study.

This study aimed to explore whether an artificial intelligence iterative reconstruction (AIIR) algor...

Artificial intelligence and digital health in vascular surgery: a 2-decade bibliometric analysis of research landscapes and evolving frontiers.

To analyze the structural and temporal evolution of artificial intelligence (AI) and digital health ...

Beyond the type 1 pattern: comprehensive risk stratification in Brugada syndrome.

Brugada Syndrome (BrS) is an inherited cardiac ion channelopathy associated with an elevated risk of...

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...

Screen Time Is Associated With Cardiometabolic and Cardiovascular Disease Risk in Childhood and Adolescence.

BACKGROUND: Screen time in children and adolescents may be linked to cardiometabolic and cardiovascu...

Incorporation of Metabolic Dysfunction-Associated Steatotic Liver Disease in the Health Stage of Cardiovascular-Kidney-Metabolic Syndrome Improves Predictive Ability for Coronary Artery Disease in a Japanese General Population.

BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome is a recently proposed condition encompas...

Artificial intelligence-enhanced echocardiography in cardiovascular disease management.

Artificial intelligence (AI) is transforming echocardiography, ushering in an era of improved diagno...

Development and interpretation of a machine learning risk prediction model for post-stroke depression in a Chinese population.

Current evidence for predictive models of post-stroke depression (PSD) risk based on machine learnin...

Dynamic and interpretable deep learning model for predicting respiratory failure following cardiac surgery.

Human-Based Technologies in Cardiovascular Pharmacology Research.

Human-based technologies are revolutionizing cardiovascular pharmacology by offering innovative plat...

A Sensor Array Composed of Organelle-Targeting Fluorescent Probes and Polydopamine Particles for Deep Learning-Assisted Identification and Ablation of Drug-Resistant Lung Tumors.

Lung cancer, a leading cause of global cancer-related mortality, predominantly features nonsmall cel...

Machine learning-based predictive modeling of angina pectoris in an elderly community-dwelling population: Results from the PoCOsteo study.

BACKGROUND: Angina pectoris, a comparatively common complaint among older adults, is a critical warn...

Expanding Domain-Specific Datasets with Stable Diffusion Generative Models for Simulating Myocardial Infarction.

Areas, such as the identification of human activity, have accelerated thanks to the immense developm...