Cardiovascular

Myocardial Infarction

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

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Showing 64-84 of 6,871 articles
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...

The Application of Machine Learning in Warfarin Dose Precision for Diabetic Patients Treated with Statins: A Comparative Study.

PURPOSE: To evaluate the impact of statin therapy on warfarin dose requirements in diabetic patients...

Development Of the VAMPCT Score for Predicting Mortality in CKD Patients with COVID-19.

Chronic kidney disease (CKD) patients with coronavirus disease 2019 (COVID-19) are at significant r...

Phantom-Based Ultrasound-ECG Deep Learning Framework for Prospective Cardiac Computed Tomography.

OBJECTIVE: We present the first multimodal deep learning framework combining ultrasound (US) and ele...

Evaluation of the CorPath-GRX technIQ automated movements during robotic-PCI (NAVIGATE GRX study).

BACKGROUND: The second-generation Corepath GRX system utilized artificial intelligence technology, k...

Performance of convolutional neural network-enhanced electrocardiography in detecting acute coronary syndrome: focusing on subtypes and reduced leads.

BACKGROUND: Early and accurate diagnosis of acute coronary syndrome (ACS), particularly non-ST-eleva...

A bibliometric analysis of the 50 most cited articles about artificial intelligence in electrocardiogram.

BACKGROUND: Artificial intelligence (AI) is a modern tool that increases the diagnostic precision of...

Knowledge-Driven Graph Representation Learning for Myocardial Infarction Localization.

The electrocardiogram (ECG) serves as a crucial tool for myocardial infarction (MI) localization, an...

ECG Screening in Athletes: A Systematic Review of Sport, Age, and Gender Variations.

BACKGROUND: The electrocardiogram (ECG) screening in athletes is essential due to the unique cardiac...

ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks.

Arrhythmia classifiers relying on supervised deep learning models usually require a substantial amou...

A pediatric ECG database with disease diagnosis covering 11643 children.

Electrocardiogram (ECG) is a common non-invasive diagnostic tool for cardiovascular diseases. Adequa...

ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction.

OBJECTIVE: In this paper we develop and evaluate ECG-SMART-NET for occlusion myocardial infarction (...

Effectiveness of Digital Health Interventions for Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-Analysis.

BACKGROUND: Chronic obstructive pulmonary disease (COPD), marked by dyspnea, cough, and sputum produ...

The Emerging Role of Computed Tomography Coronary Angiography in the Left Main Stem Percutaneous Coronary Intervention.

Recent advancements in computed tomography have significantly transformed the clinical application o...

AI-Based Predictive Models for Cardiogenic Shock in STEMI: Real-World Data for Early Risk Assessment and Prognostic Insights.

Cardiogenic shock (CS) is a life-threatening complication of ST-elevation myocardial infarction (ST...

Development of a Heart Rate Variability Based Ambulatory Stress Detection Model for Clinical Populations.

Biosensor-based, real-time stress detection has generated clinical interest for the purpose of drivi...

Diagnostic and prognostic value of ECG-predicted hypertension-mediated left ventricular hypertrophy using machine learning.

OBJECTIVE: Four hypertension-mediated left ventricular hypertrophy (LVH) phenotypes have been report...

A Deep Learning-Based Multimodal Fusion Model for Recurrence Prediction in Persistent Atrial Fibrillation Patients.

BACKGROUND: The long-term success rate of atrial fibrillation (AF) ablation remains a significant cl...

Real-Time Implementation of Accelerated HCP-MMA for Deep Learning-Based ECG Arrhythmia Classification Using Contour-Based Visualization.

This study presents a real-time implementation of an accelerated Hurst Contour Projection from Multi...

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