Myocardial Infarction

OCT-Derived Virtual Fractional Flow Reserve Associated With 1-Year Outcomes After PCI in ACS Patients.

BACKGROUND: Despite PCI, many acute coronary syndrome (ACS) patients experience major adverse cardio...

Prediction of left ventricular systolic dysfunction in left bundle branch block using a fine-tuned ECG foundation model.

Left bundle branch block (LBBB) is an important electrocardiographic (ECG) finding strongly associat...

Wearable device derived electrocardiographic age and its association with atrial fibrillation.

Artificial intelligence (AI)-derived electrocardiographic (ECG) age is a promising marker of atrial ...

Predicting functional results of percutaneous coronary intervention using machine learning modelling.

BACKGROUND: Post-percutaneous coronary intervention (PCI) Murray's law-based quantitative flow ratio...

Multisite, External Validation of an AI-Enabled ECG Algorithm for Detection of Low Ejection Fraction.

BACKGROUND: Low left ventricular ejection fraction (LEF) can progress undiagnosed. Artificial intell...

A Dual Classifier-Regressor Architecture for Heart Sound Onset/Offset Detection.

OBJECTIVE: Identifying the first (S1) and second (S2) heart sounds from phonocardiogram (PCG) signal...

Multi-window temporal analysis for enhanced arrhythmia classification: leveraging long-range dependencies in electrocardiogram signals.

OBJECTIVE: Arrhythmia classification from electrocardiograms (ECGs) suffers from high false positive...

Artificial intelligence based retinal imaging for cardiovascular risk and statin guidance in retinal vein occlusion.

High-Strength Degradable Transparent Bio-Electronics Enabled by Confined Crystallization in Aligned Nanofibers for AI-Assisted Motion Sensors.

The severe environmental impact of conventional plastic electronics necessitates next-generation wea...

Low-complexity fetal heart rate monitoring from carbon-based single-channel dry electrodes maternal electrocardiogram.

Objective. Fetal and maternal health during pregnancy can be monitored with sensors such as Doppler ...

[Artificial intelligence in risk stratification of acute coronary syndrome : Future vision or already reality?].

Artificial intelligence (AI) in cardiology has evolved from rule-based expert systems to data-driven...

DeeBayes: An interpretable deep Bayesian network for ECG signal restoration.

The electrocardiogram (ECG) is a valuable and non-invasive tool for detecting and preventing arrhyth...

Old Criteria, New Intelligence: The Evolution of ECG in Pulmonary Hypertension Diagnosis.

BACKGROUND: Pulmonary hypertension (PH) carries a significant mortality risk, highlighting the need ...

External validation of an explainable electrocardiogram-only deep learning algorithm for the prediction of response after cardiac resynchronization therapy.

BACKGROUND: Cardiac resynchronization therapy (CRT) can improve clinical outcomes in patients with d...

Multi-scale heart simulation augments the explainability of artificial intelligence-enabled electrocardiogram through provision of an electrocardiogram database labelled with cellular pathologies.

BACKGROUND AND OBJECTIVES: Although artificial-intelligence-enhanced electrocardiograms (AI-ECGs) of...

Predicting Occlusion Myocardial Infarctions in the Emergency Department Using Artificial Intelligence.

OBJECTIVES: The objective was to develop an artificial intelligence (AI) model for predicting acute ...

The Emerging Role of ECG-AI as a Digital Risk Biomarker for Incident Heart Failure.

Design and rationale of the WARRIOR ancillary study for coronary CT angiographic analysis.

BACKGROUND: Over 50% of women evaluated for suspected ischemia have no obstructive coronary artery d...

ECG-aBcDe: Overcoming model dependence, encoding ECG into a universal language for any large language model.

Large Language Models (LLMs) hold significant promise for electrocardiogram (ECG) analysis, yet chal...

Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning.

Precise localization of coronary arteries in Computed Tomography (CT) scans is critical from the per...

Inaccurate information regarding cardiovascular disease prevention enabled by generative artificial intelligence.

Inaccurate information regarding cardiovascular disease (CVD) prevention is prevalent on the interne...