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Diagnostic performance of artificial intelligence for detection of ventricular arrhythmias: a systematic review and meta-analysis

28 August 2026 (10:15 - 11:00)
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Congress Presentation Part of: Arrhythmogenic right ventricular cardiomyopathy: artificial intelligence Diagnostic Methods ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Kridhitach Ngarmukos

University of Hawaii, Honolulu (United States of America)

6 More presentations in this session

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The use of high-density electroanatomic mapping catheter in detecting critical Purkinje potentials (P1-P2) in patients with left posterior fascicular VT
Associate Professor H. Koca (Adana, TR)
Abstract Slides Video
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Characterization of real world contemporary attr-cm patients treated with standard of care: focus on biomarkers and exercise capacity
Doctor S. Martano (Lecce, IT)
Abstract Slides Video
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Early recovery during exercise testing identifies the critical window of electrocardiographic expression in Brugada syndrome
Doctor N. Pichara (Sao Paulo, BR)
Abstract Slides Video
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Intrinsic protection against arrhythmia in a rat model of pulmonary arterial hypertension independent of hypoxia inducible factor 2-alpha activity
Ms A. Sohi (London, GB)
Abstract Slides Video
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When bundle branch blurs the signal: How accurate is electrocardiographic criteria for outflow tract premature ventricular complexes?
Doctor M. Osment (Columbia, US)
Abstract Slides Video

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Arrhythmogenic right ventricular cardiomyopathy: artificial intelligence

The Event

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ESC Congress 2026

28 August 2026 10:15 CET
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