Skip to content
Log in
Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Y. Na

View on Semantic Scholar

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Oct 2026

Deep learning-based detection of paroxysmal atrial fibrillation from sinus rhythm electrocardiograms and its association with stroke risk

Atrial fibrillation (AF) is associated with increased stroke risk and deep-learning model by electrocardiogram (ECG) enabled AF early detection even during normal sinus rhythm (NSR). However, impact of AF early detection on subsequent stroke is not well known. The primary aim was to develop and externally...

K. H. Lee, Y.-H. Ji, M. Park et al. · 0 citations
Open access Oct 2026

Deep learning–based ECG detection and phenotype classification of hypertrophic cardiomyopathy

Hypertrophic cardiomyopathy (HCM) is associated with increased risk of heart failure and sudden cardiac death, and early detection is essential for timely management. Although echocardiography is the standard diagnostic tool, it is resource-intensive and not always available. 12-lead electrocardiography (ECG) is...

M. Soh, Y. Lee, H. Hong et al. · 0 citations
Open access Oct 2026

AI-ECG detection of diastolic dysfunction: A screening approach for early HFpEF

Left ventricular diastolic dysfunction (LVDD) is highly prevalent in the general population and represents an early stage of heart failure with preserved ejection fraction (HFpEF). Diagnosis relies on Doppler-based echocardiographic parameters, limiting its feasibility for large-scale screening. While artificial...

M. Soh, Y. Lee, H. Hong et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.