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AI-driven dual-ECG analysis for non-invasive monitoring of heart failure status changes

Session: Artificial intelligence in cardiology: transforming ECG analysis for precision care
Topic: Deep Learning
Speaker: Mr Y. Nishihara (Kobe, JP)
Event: ESC Congress 2025

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Mr Yu Nishihara

Kobe (Japan)
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7 more presentations in this session

Performance of a deep learning ECG model in predicting atrial fibrillation among patients with implantable loop recorders

Speaker: Doctor A. Estrada-Magana (Rochester, US)

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Predicting ventricular tachycardia in post-MI patients years in advance using artificial intelligence on ECGs

Speaker: Miss C. Buck (Eindhoven, NL)

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Machine-learning based ECG model to differentiate takotsubo syndrome from myocardial infarction

Speaker: Doctor H. Hakansson (Stockholm, SE) Doctor P. Tornvall (Stockholm, SE)

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Artificial intelligence-driven ECG biomarkers for accurate screening of large pericardial effusion

Speaker: Assistant Professor M. SOH (Suwon, KR)

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Assessing the external performance of AI-ECG for left ventricular systolic dysfunction: a review and multinational head-to-head comparison

Speaker: Mr P. Croon (Amsterdam, NL)

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Access the full session

Artificial intelligence in cardiology: transforming ECG analysis for precision care

Speakers: Mr Y. Nishihara, Doctor A. Estrada-Magana, Miss C. Buck, Doctor H. Hakansson, Doctor P. Tornvall...
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ESC Congress 2025

29 August - 1 September 2025

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