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Artificial intelligence–based ECG as a triage tool for acute myocardial infarction: a diagnostic systematic review and meta-analysis

29 August 2026 (09:50 - 10:00)
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Congress Presentation Part of: Acute coronary syndromes: novel biomarkers and artificial intelligence-enabled diagnostics Noninvasive Imaging ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Miss Giulia Caldeira Gaelzer

Pontifical Catholic University of Parana, Curitiba (Brazil)

5 More presentations in this session

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Homocysteine multiplies risks of adverse outcomes in premature myocardial infarction: synergistic effects with obesity and inflammation
Professor J. Gao (Tianjin, CN)
Abstract Slides
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Sex-specific validation of an artificial intelligence–enabled electrocardiogram for early triage of acute myocardial infarction
Mr M. Lee (Bucheon, KR)
Abstract Slides
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Cardiac myosin-binding protein C and the early risk stratification of patients with possible acute myocardial infarction
Doctor Y. Tew (Edinburgh, GB)
Abstract Slides
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External validation of an electrocardiogram-based convolutional neural network model for the early diagnosis of occlusion myocardial infarction
Doctor P. Lopez Ayala (Basel, CH)
Abstract Slides
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IMR-Ach: normal reference and its implications in different ANOCA endotypes.
Professor A. Leone (Rome, IT)
Abstract Slides

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Acute coronary syndromes: novel biomarkers and artificial intelligence-enabled diagnostics
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The Event

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ESC Congress 2026

29 August 2026 09:50 CET
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