Cardiovascular

Latest AI and machine learning research in cardiovascular for healthcare professionals.

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Heart rate variability in patients with cardiovascular diseases.

Heart rate variability (HRV) has been reported to predict overall mortality and the risk of cardiova...

Updates on inherited arrhythmia syndromes (Brugada syndrome, long QT syndrome, CPVT, ARVC).

The inherited arrhythmia (IA) syndromes are a group of rare and complex conditions that may predispo...

Atrial Fibrillation Recurrence After Catheter Ablation: The Puzzle We Have and the Pieces We Need.

Atrial fibrillation (Afib) recurrence following catheter ablation (CA) remains a significant challen...

Echocardiography for short-term mechanical circulatory support: a trans-Atlantic practical guide.

Short-term mechanical circulatory support (stMCS) devices are increasingly utilized for haemodynamic...

Diffusion-based image translation model from low-dose chest CT to calcium scoring CT with random point sampling.

BACKGROUND: Coronary artery calcium (CAC) scoring is an important method for cardiovascular risk ass...

Leveraging pulse wave signal properties for coronary artery calcification screening in CKD patients.

BACKGROUND AND AIMS: Chronic kidney disease (CKD) patients are particularly susceptible to coronary ...

Relationship between amino acid metabolism and inflammation in coronary heart disease (Review).

This review delves into the intricate relationship between amino acid metabolism and inflammation in...

Towards prehospital risk stratification using deep learning for ECG interpretation in suspected acute coronary syndrome.

OBJECTIVES: Most patients presenting with chest pain in the emergency medical services (EMS) setting...

Optimization of hemocompatibility metrics in ventricular assist device design using machine learning and CFD-based response surface analysis.

Ventricular assist devices (VADs) are essential for end-stage heart failure patients, but their desi...

The Current State of Artificial Intelligence on Detecting Pulmonary Embolism via Computerised Tomography Pulmonary Angiogram: A Systematic Review.

Pulmonary embolism (PE) is a life-threatening condition with significant diagnostic challenges due ...

A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models.

BACKGROUND AND OBJECTIVE: The machine learning (ML) models for acute myocardial infarction (AMI) are...

StrokeNeXt: an automated stroke classification model using computed tomography and magnetic resonance images.

BACKGROUND AND OBJECTIVE: Stroke ranks among the leading causes of disability and death worldwide. T...

Research on ischemic stroke risk assessment based on CTA radiomics and machine learning.

BACKGROUND: The study explores the value of a model constructed by integrating CTA-based carotid pla...

Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability.

The prevalence and spread of carbapenem-resistant Pseudomonas aeruginosa (CRPA) is a global public h...

Epistasis regulates genetic control of cardiac hypertrophy.

Although genetic variant effects often interact nonadditively, strategies to uncover epistasis remai...

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