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Associate Professor Yong Soo Baek

Inha University Hospital, Incheon (Korea (Republic of))
Membership: ESC Professional Member EHRA Member
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AI-augmented ECG predicts clinical and subclinical atrial fibrillation in patients with implantable cardiac monitors: a multicenter, long-term prospective study
Presentation
AI-augmented ECG predicts clinical and subclinical atrial fibrillation in patients with implantable cardiac monitors: a multicenter, long-term prospective study
AI-enabled ECG risk predicts incident atrial fibrillation with incremental value of AI-estimated heart age: comparison with the CHARGE-AF model from the UK Biobank
Presentation
AI-enabled ECG risk predicts incident atrial fibrillation with incremental value of AI-estimated heart age: comparison with the CHARGE-AF model from the UK Biobank
Artificial intelligence-guided localization of  PVC origins from 12-Lead ECG: development and clinical validation
Presentation
Artificial intelligence-guided localization of PVC origins from 12-Lead ECG: development and clinical validation
ECG-based artificial enhancement for risk stratification of thromboembolic and major adverse cardiac events in atrial fibrillation compared with  CHA2DS2-VA scoring
Presentation
ECG-based artificial enhancement for risk stratification of thromboembolic and major adverse cardiac events in atrial fibrillation compared with CHA2DS2-VA scoring
AI-enhanced ECG with segment-specific concept based on coronary artery circulation and ischemic changes: advancing coronary artery disease screening
Presentation
AI-enhanced ECG with segment-specific concept based on coronary artery circulation and ischemic changes: advancing coronary artery disease screening
Forecasting mortality and cardiovascular risks through AI-estimated biological heart age from 12-Lead ECGs
Presentation
Forecasting mortality and cardiovascular risks through AI-estimated biological heart age from 12-Lead ECGs
Enhancing thromboembolic and major adverse cardiac events risk assessment in atrial fibrillation using AI-driven ECG: a comparative analysis with CHA2DS2-VA scoring
Presentation
Enhancing thromboembolic and major adverse cardiac events risk assessment in atrial fibrillation using AI-driven ECG: a comparative analysis with CHA2DS2-VA scoring
Artificial intelligence-enhanced electrocardiography for predicting severity prognosis in patients with COVID-19
Presentation
Artificial intelligence-enhanced electrocardiography for predicting severity prognosis in patients with COVID-19
Artificial intelligence-estimated biological heart age using 12 lead electrocardiogram predicts mortality and cardiovascular outcomes
Presentation
Artificial intelligence-estimated biological heart age using 12 lead electrocardiogram predicts mortality and cardiovascular outcomes
Prediction of atrial fibrillation from normal ECG using artificial intelligence in patients with unexplained stroke
Presentation
Prediction of atrial fibrillation from normal ECG using artificial intelligence in patients with unexplained stroke

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