ArticleEuropean heart journal. Digital health2026
Development and multicentre validation of an artificial intelligence electrocardiogram model for ventricular remodeling in repaired tetralogy of Fallot.
Article in European heart journal. Digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The trial behind it
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Who cites it
1 citing paper in PubMed.
- Repaired tetralogy of Fallot across adulthood: from right ventricular remodelling to targeted intervention.Heart failure reviews · 2026Review
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Authors and funding
24 authors.
Funding
Abstract
Aims: Periodic cardiac MRI (CMR) is recommended to identify adverse ventricular remodelling in repaired tetralogy of Fallot (TOF), but access to CMR is uneven, and compliance is poor. We developed a 12-lead electrocardiogram (ECG) artificial intelligence (AI) biomarker to identify CMR-quantified adverse biventricular remodelling in repaired TOF. Methods and results: Six (1 train/5 external test) North American retrospective cohorts with paired ECG and CMR were included. The main outcome was a composite of ≥2 TOF-specific CMR abnormalities: right ventricular (RV) end-diastolic volume ≥ 160 mL/m Conclusion: An artificial intelligence analysis of electrocardiogram (AI-ECG) biomarker in repaired TOF effectively identifies ventricular remodelling to inform timing of advanced imaging. Extensive external validation revealed variation in discrimination and calibration that are important considerations for clinical implementation and regulatory approval pathways of AI-ECG in congenital heart disease.
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Registered trials
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