Research and publications
The research behind Deep-ICD
Explore the methods, clinical studies, and ongoing work behind prolonged ICD screening.
Journal articles
2024 · Clinical study · Indian Pacing and Electrophysiology Journal
Using artificial intelligence and deep learning to optimise the selection of adult congenital heart disease patients in S-ICD screening
ElRefai M, Abouelasaad M, Conibear I, Wiles BM, Dunn AJ, Coniglio S, Zemkoho AB, Morgan J, Roberts PR
2023 · Methods · Annals of Operations Research
Deep learning and hyperparameter optimization for assessing one’s eligibility for a subcutaneous implantable cardioverter-defibrillator
Dunn AJ, Coniglio S, ElRefai M, Roberts PR, Wiles BM, Zemkoho AB
2023 · Clinical study · Annals of Noninvasive Electrocardiology
Correlation analysis of deep learning methods in S-ICD screening
ElRefai M, Abouelasaad M, Wiles BM, Dunn AJ, Coniglio S, Zemkoho AB, Morgan J, Roberts PR
2023 · Clinical study · Annals of Noninvasive Electrocardiology
Role of deep learning methods in screening for subcutaneous implantable cardioverter defibrillator in heart failure
ElRefai M, Abouelasaad M, Wiles BM, Dunn AJ, Coniglio S, Zemkoho AB, Morgan JM, Roberts PR
Published online 2022 · Journal issue 2025 · Journal of Interventional Cardiac Electrophysiology
Deep learning-based insights on T:R ratio behaviour during prolonged screening for S-ICD eligibility
ElRefai M, Abouelasaad M, Wiles BM, Dunn AJ, Coniglio S, Zemkoho AB, Roberts PR
2021 · Foundational methods · Artificial Intelligence in Medicine
Deep learning methods for screening patients’ S-ICD implantation eligibility
Dunn AJ, ElRefai MH, Roberts PR, Coniglio S, Wiles BM, Zemkoho AB
Conference abstracts
2025 · Heart Rhythm
Deep learning based assessment of T:R ratios during prolonged screening in S-ICD patients experienced inappropriate shocks secondary to T-wave over-sensing
Toon LT, ElRefai M, Abouelasaad M, Wiles B, Ward S, Dunn A, Zemkoho A, Roberts P, Paisey J
2025 · Heart
Analysis of P:R ratios over a 24-hour period: using a convoluted neural network machine learning artificial intelligence tool
Toon LT, ElRefai M, Wiles BM, Ward S, Dunn AJ, Zemkoho AB, Roberts PR, Paisey JR
2022 · EP Europace
The use of artificial intelligence and deep learning methods in subcutaneous implantable cardioverter defibrillator screening to optimise selection in special patient populations
ElRefai M, Abouelasaad M, Conibear I, Wiles B, Dunn A, Coniglio S, Zemkoho A, Roberts P
2022 · EP Europace
Eligibility for subcutaneous implantable cardiac defibrillator utilising artificial intelligence and deep learning methods for prolonged screening: where is the cut-off?
ElRefai M, Abouelasaad M, Dunn A, Coniglio S, Zemkoho A, Wiles B, Roberts P
Current manuscript
Author-supplied draft · Public link to be added when available
Deep learning for non-transvenous ICD screening: tailored neural network architectures, extended experiments, and explainability
Extends the research to extravascular devices and updated screening methods.
What is the platform’s current status?
Deep-ICD is a research platform supporting investigation of prolonged device screening. Evidence and development stages differ between S-ICD and EV-ICD applications. Findings require clinical interpretation; improved patient outcomes remain a research goal.