Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
652-01-011 / 652-01-011 ISMRM Abstract

AI-driven Automated Risk Prediction of Ventricular Arrhythmias and Sudden Death from Late Gadolinium Enhancement Cardiac MRI

Primary: Cardiovascular - Arrhythmia
Secondary: Analysis Methods - Classification and Prediction
652-01-011 · Prognostication and Predictive Value of MR Biomarkers · Thursday, 14 May, 8:30 AM–10:06 AM · Power Pitch Theatre 2
652-01-011 · Prognostication and Predictive Value of MR Biomarkers · Thursday, 14 May, 8:30 AM–10:06 AM · Power Pitch Theatre 2
Keywords: Hypertrophic cardiomyopathy Prognosis Artificial Intelligence Survival analysis
Accepted
Joao Santinha 1,2, Miguel M Antunes3,4, Minh Nhat Trinh5, João B Augusto6,7,8,9, Sílvia A Rosa3, Teresa M Correia5,10
1Digital Surgery Lab, Breast Cancer Research Program, Champalimaud Foundation, Lisboa, Portugal
2Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal
3Hospital de Santa Marta, Centro Clinico Académico de Lisboa, Lisboa, Portugal
4Centro Cardiovascular da Universidade de Lisboa – CCUL@RISE, Lisboa, Portugal
5Quantitative Bio-Imaging Lab, Center of Marine Sciences (CCMAR), Faro, Portugal
6Hospital CUF Tejo, Lisboa, Portugal
7Hospital Prof. Doutor Fernando Fonseca, Lisboa, Portugal
8University College of London, Lisbo, Portugal
9Católica Medical School, Lisboa, Portugal
10School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
Presenting Author: Joao Santinha

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References

1. AJ Marian et al.. Hypertrophic Cardiomyopathy: Genetics, Pathogenesis, Clinical Manifestations, Diagnosis, and Therapy. Circ Res 2017;121(7):749-770. doi: 10.1161/CIRCRESAHA.117.311059 [doi]
2. SR Ommen et al. 2020 AHA/ACC Guideline for the Diagnosis and Treatment of Patients With Hypertrophic Cardiomyopathy. Circulation 2020;142(25):e558-e631. doi: 10.1161/CIR.0000000000000937 [doi]
3. JB Augusto et al.. Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performance. Lancet Digit Health 2021;3(1):e20-e28. doi: 10.1016/S2589-7500(20)30267-3 [doi]
4. J Santinha et al.. Combining deep learning and radiomics for a fully automated and reproducible assessment of myocardial viability. ISMRM 2025, May 10-15, 2025.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/652-01-011