Cardiovascular

Myocardial Infarction

Latest AI and machine learning research in myocardial infarction for healthcare professionals.

7,976 articles
Stay Ahead - Weekly Myocardial Infarction research updates
Subscribe
Browse Categories
Showing 1618-1638 of 7,976 articles
Cardiac Function Assessment with Deep-Learning-Based Automatic Segmentation of Free-Running 4D Whole-Heart CMR

Free-running (FR) cardiac MRI enables free-breathing ECG-free fully dynamic 5D (3D spatial+cardiac+r...

A Novel Noise-Resilient and Explainable Machine Learning Framework for Accurate and Robust ECG-Based Heart Disease Diagnosis

An electrocardiogram (ECG) is essential for diagnosing cardiac abnormalities. Automated heartbeat cl...

Large Language Models in Stroke Management: A Review of the Literature

Stroke care generates vast free-text records that slow chart review and hamper data reuse. Large lan...

Deep learning predicts cardiac output from seismocardiographic signals in heart failure

Determination of cardiac output (CO) is essential to the clinical management of cardiovascular compr...

Personalized Synthetic Electrocardiograms with Outcomes

Synthetic data can be the solution to privacy requirements, can enrich datasets limited by underrepr...

HuBERT-ECG as a self-supervised foundation model for broad and scalable cardiac applications

Deep learning models have shown remarkable performance in electrocardiogram (ECG) analysis, but the ...

Phenotypic Selectivity of Artificial Intelligence-enhanced Electrocardiography in Cardiovascular Diagnosis and Risk Prediction

Artificial intelligence (AI)-enhanced electrocardiogram (ECG) models are designed to detect specific...

Fusion-Based Deep Learning Ensemble on MIT-BIH and PTB-XL ECG Databases for Enhanced Cardiac Diagnosis

Electrocardiogram (ECG) analysis plays a critical role in the early detection and diagnosis of cardi...

Estimating ascending aortic diameter from the electrocardiogram

In an analysis of 69,173 UK Biobank participants, we paired MRI-based measurements of the ascending ...

Evaluating Accuracy and Reasoning Capabilities of Large Language Models for Acute Ischemic Stroke Management

Acute ischemic stroke (AIS) management has evolved substantially over the past two decades, with mec...

ECG classification with convolutional neural networks demonstrates resilience to sex-imbalances in data

Many ECG-AI models have been developed to predict a wide range of cardiovascular outcomes. The under...

Short-term Repeatability of Artificial Intelligence Estimated Electrocardiographic Age

Advancements in artificial intelligence have enabled estimation of cardiac age from raw ECG waveform...

Machine learning to classify left ventricular hypertrophy using ECG feature extraction by variational autoencoder

Traditional ECG criteria for left ventricular hypertrophy (LVH) have modest diagnostic yield. Develo...

The HeartMagic prospective observational study protocol – characterizing subtypes of heart failure with preserved ejection fraction

Heart failure (HF) is a life-threatening syndrome with significant morbidity and mortality. While ev...

Browse Categories