Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

T. Hwang

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

Electrocardiographic aging based on artificial intelligence and the risk of heart failure and its subtypes: a multi-national study

Prior studies suggest that artificial intelligence (AI) can infer “biological age” from the electrocardiogram (ECG), and that this ECG-derived aging signal may improve cardiovascular risk prediction. To evaluate whether AI-estimated ECG aging is associated with the risk of incident HF overall and with subt...

S. Chung, Seng-Chan You, S. Cho et al. · 0 citations
Open access Oct 2026

Digital twin virtual atrial fibrillation dynamics predict clinical atrial arrhythmia recurrence after catheter ablation

The maximal slope of the action potential duration restitution curve (Smax) reflects electrical instability and relates to fibrillation maintenance. However, the clinical significance of digital twin–derived high-density (HD) Virtual Restitution properties and Virtual atrial fibrillation (AF) sustainability in pa...

T. Hwang, D. Ahn, J. Huh et al. · 0 citations
Open access Oct 2026

Extra-pulmonary vein drivers as a potential mechanism of the antiarrhythmic drug-resistant atrial fibrillation after catheter ablation: Digital twin-guided virtual drug test

Findings suggest that persistent extra-PV PS drivers may contribute to AAD-resistant AA recurrence after PVI, and limited suppression of stable PS area under Virtual AADs, but not restitution response, predicts 3-year Clinical AA recurrence.

T. Hwang, D. Ahn, K. Im 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.