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Diagnostic performance of artificial intelligence-driven electrocardiogram algorithms in detecting heart failure with preserved ejection fraction: a systematic review and meta-analysis

Congress Presentation

About the speaker

Mr Juan Peres De Oliveira

(Brazil)
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6 more presentations in this session

AI-ECG performance in detecting left ventricular systolic dysfunction and predicting death in Chagas disease patients: SaMi-Trop project

Speaker: Associate Professor C. Cardoso (Divinopolis, BR)

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AI-Enhanced ECG for pulmonary hypertension detection: integrating machine learning and deep learning approaches

Speaker: Doctor J. Huang (Taipei, TW)

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AI-ECG-derived biological age as a predictor of mortality in cardiovascular and acute care patients

Speaker: Doctor D. Pavluk (Innsbruck, AT)

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Explainable and interpretable AI visualises self-learned clinically relevant ECG characteristics of rhythm and morphology paving the way for trustworthy diagnostic support

Speaker: Mr A. Hammer (Dresden, DE)

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Prospective validation in a real-world cohort of a deep learning model for left ventricular filling pressure estimation using standard 12-lead ECG

Speaker: Doctor A. Cinq-Mars (Paris, FR)

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Smart ECGs: bridging technology and cardiovascular care

Speakers: Mr J. Peres De Oliveira, Associate Professor C. Cardoso, Doctor J. Huang, Doctor D. Pavluk, Mr A. Hammer...
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ESC Congress 2025

29 August - 1 September 2025

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