ORIGINAL RESEARCH
Published on 17 Mar 2025
Deep learning analysis of exercise stress electrocardiography for identification of significant coronary artery disease
doi 10.3389/frai.2025.1496109
- 348 views
- Frontiers in Cardiovascular Medicine
- Cardiac Rhythmology
- Research Topics
- Artificial Intelligence for Arrhythmia Detection and Prediction
Artificial Intelligence for Arrhythmia Detection and Prediction
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Articles
ORIGINAL RESEARCH
Published on 26 Feb 2025
Bioinformatics analysis of the expression of potential common genes and immune-related genes between atrial fibrillation and chronic kidney disease
doi 10.3389/fcvm.2025.1521722
- 724 views
OPINION
Published on 14 Feb 2025
Artificial intelligence enabled mobile health technologies in arrhythmias-an opinion article on recent findings
doi 10.3389/fcvm.2025.1548554
- 549 views
ORIGINAL RESEARCH
Published on 06 Jan 2025
Cardioattentionnet: advancing ECG beat characterization with a high-accuracy and portable deep learning model
doi 10.3389/fcvm.2024.1473482
- 687 views
- 1 citation
ORIGINAL RESEARCH
Published on 16 Dec 2024
A new prediction model for sustained ventricular tachycardia in arrhythmogenic cardiomyopathy
doi 10.3389/fcvm.2024.1477931
- 437 views
ORIGINAL RESEARCH
Published on 21 Oct 2024
AI-enabled detection of QRS fragmentation from 12-lead electrocardiogram and its clinical relevance for predicting malignant arrhythmia onset
doi 10.3389/fcvm.2024.1464303
- 826 views
MINI REVIEW
Published on 15 Jul 2024
Artificial intelligence-enabled atrial fibrillation detection using smartwatches: current status and future perspectives
doi 10.3389/fcvm.2024.1432876
- 3,554 views
- 6 citations
Published in
Frontiers in Cardiovascular Medicine
Cardiac Rhythmology
General Cardiovascular Medicine
Clinical and Translational Cardiovascular Medicine
Participating Journals
Frontiers in Artificial Intelligence
- 3.0 impact factor
- 6.1 citescore
Frontiers in Big Data
- 2.4 impact factor
- 5.2 citescore
Frontiers in Digital Health
- 3.2 impact factor
- 4.2 citescore
Frontiers in Medicine
- 3.1 impact factor
- 5.1 citescore