Cardiovascular

Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis.

OBJECTIVE: To compare the performance of predictive models for cardiovascular event (CVE) in patient...

Development of an Artificial Intelligence-Enabled Electrocardiography to Detect 23 Cardiac Arrhythmias and Predict Cardiovascular Outcomes.

Arrhythmias are common and can affect individuals with or without structural heart disease. Deep lea...

An end-to-end neural network for 4D cardiac CT reconstruction using single-beat scans.

Motion artifacts remain a significant challenge in cardiac CT imaging, often impairing the accurate ...

Modern statistical techniques for cardiothoracic surgeons: Part 8-Bayesian analysis and beyond.

Bayesian analysis is a statistical approach that updates the probability of a hypothesis as new evid...

Causal recurrent intervention for cross-modal cardiac image segmentation.

Cross-modal cardiac image segmentation is essential for cardiac disease analysis. In diagnosis, it e...

Transfer learning of multicellular organization via single-cell and spatial transcriptomics.

Biological tissues exhibit complex gene expression and multicellular patterns that are valuable to d...

Bioanalysis of antihypertensive drugs by LC-MS: a fleeting look at the regulatory guidelines and artificial intelligence.

Hypertension is a multifaceted cardiovascular disease, a significant risk factor for stroke, heart a...

Gui-Pi-Tang Defers Skeletal Muscle and Cardiac Muscle Aging by Promoting Mitochondrial Remodeling.

PURPOSE: To determine whether Gui-Pi-Tang (GPT) has protective effects on skeletal muscle and cardia...

Machine-learning guided differentiation between photoplethysmography waveforms of supraventricular and ventricular origin.

BACKGROUND: It is unclear, whether photoplethysmography (PPG) waveforms from wearable devices can di...

Construction of a deep learning model and identification of the pivotal characteristics of FGF7- and MGST1- positive fibroblasts in heart failure post-myocardial infarction.

Dysregulation of fibroblast function is closely associated with the occurrence of heart failure afte...

World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography.

Deep learning-based medical image segmentation and surface mesh generation typically involve a seque...

National Cost Savings From Use of Artificial Intelligence Guided Echocardiography in the Assessment of Intermediate-Risk Patients With Syncope in the Emergency Department.

OBJECTIVES: Our primary objective was to estimate the realistic impact of an artificial intelligence...

The emerging role of AI in transforming cardiovascular care.

Diagnostic MicroRNA Signatures to Support Classification of Pulmonary Hypertension.

BACKGROUND: Patients with pulmonary hypertension (PH) are classified based on disease pathogenesis a...

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients.

This study introduces a Brain-Computer Interface (BCI)-controlled upper limb assistive robot for pos...

AI analysis for ejection fraction estimation from 12-lead ECG.

Heart failure (HF) remains a leading global cause of cardiovascular deaths, with its prevalence expe...

Integrative neurorehabilitation using brain-computer interface: From motor function to mental health after stroke.

Stroke remains a leading cause of mortality and long-term disability worldwide, frequently resulting...

U-shaped network combining dual-stream fusion mamba and redesigned multilayer perceptron for myocardial pathology segmentation.

BACKGROUND: Cardiac magnetic resonance imaging (CMR) provides critical pathological information, suc...

AI-enhanced guidance demonstrated improvement in novices' Apical-4-chamber and Apical-5-chamber views.

INTRODUCTION: Artificial Intelligence (AI) modules might simplify the complexities of cardiac ultras...

Feasibility of U-Net model for cerebral arteries segmentation with low-dose computed tomography angiographic images with pre-processing methods.

Subtraction computed tomography angiography (sCTA) can effectively separate enhanced cerebral arteri...

Predicting coronary heart disease with advanced machine learning classifiers for improved cardiovascular risk assessment.

Worldwide, coronary heart disease (CHD) is a leading cause of mortality, and its early prediction re...