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Artificial intelligence-guided localization of PVC origins from 12-Lead ECG: development and clinical validation

Event: ESC Digital & AI Summit 2025

Topic: Electrocardiogram (ECG) and Arrhythmia Analysis

Session: AI-driven innovation in cardiovascular medicine

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ECG-based artificial enhancement for risk stratification of thromboembolic and major adverse cardiac events in atrial fibrillation compared with CHA2DS2-VA scoring

Event: ESC Congress 2025

Topic: Artificial Intelligence

Session: What can we learn from artificial intelligence-ECG interpretation?

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AI-enhanced ECG with segment-specific concept based on coronary artery circulation and ischemic changes: advancing coronary artery disease screening

Event: EHRA 2025

Topic: Artificial Intelligence

Session: Poster session 3: clinical management of arrhythmias

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Forecasting mortality and cardiovascular risks through AI-estimated biological heart age from 12-Lead ECGs

Event: EHRA 2025

Topic: Artificial Intelligence

Session: eCardiology Award

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Enhancing thromboembolic and major adverse cardiac events risk assessment in atrial fibrillation using AI-driven ECG: a comparative analysis with CHA2DS2-VA scoring

Event: EHRA 2025

Topic: Artificial Intelligence

Session: Artificial intelligence and arrhythmias (1)

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Artificial intelligence-enhanced electrocardiography for predicting severity prognosis in patients with COVID-19

Event: EHRA 2023

Topic: Artificial Intelligence

Session: ePoster session 48

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Artificial intelligence-estimated biological heart age using 12 lead electrocardiogram predicts mortality and cardiovascular outcomes

Event: EHRA 2023

Topic: Electrocardiography (ECG)

Session: Clinical - SCD

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Prediction of atrial fibrillation from normal ECG using artificial intelligence in patients with unexplained stroke

Event: ESC Congress 2020

Topic: Epidemiology, Prognosis, Outcome

Session: Atrial Fibrillation from Care to Artificial Intelligence

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Long-term clinical outcome of chronic structural remodeling in atrial fibrillation patients with preserved left ventricular ejection fraction

Event: ESC Congress 2020

Topic: Clinical

Session: Arrhythmias, General ePosters

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Long term impact of metabolic syndrome management on mortality in patients with atrial fibrillation

Event: EHRA 2019

Topic: Lifestyle Modification

Session: Atrial Fibrillation - Epidemiology, Prognosis, Outcome

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Contributor content

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

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

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

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

Long-term clinical outcome of chronic structural remodeling in atrial fibrillation patients with preserved left ventricular ejection fraction

Long term impact of metabolic syndrome management on mortality in patients with atrial fibrillation

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