Deep learning-based insights on T:R ratio behaviour during prolonged screening for S-ICD eligibility
| dc.contributor.author | ElRefai, M | |
| dc.contributor.author | Abouelasaad, M | |
| dc.contributor.author | Wiles, BM | |
| dc.contributor.author | Dunn, AJ | |
| dc.contributor.author | Coniglio, S | |
| dc.contributor.author | Zemkoho, AB | |
| dc.contributor.author | Roberts, PR | |
| dc.date.accessioned | 2024-05-07T11:00:00Z | |
| dc.date.available | 2024-05-07T11:00:00Z | |
| dc.date.issued | 2025-10 | |
| dc.description | Dr. Mohamed ElRefai is receiving unrestricted grant from Boston Scientific. Dr. Benedict Wiles has received unrestricted research funding and consultancy payments from Boston Scientific. Dr. Paul Roberts receives consultancy fees from Boston Scientific and Medtronic. The other authors declare no competing interests. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 11 | |
| dc.format.extent | 1013231 | |
| dc.identifier | 226605680 | |
| dc.identifier | bcbe180e-a116-4df0-946c-f14dfd7e8fef | |
| dc.identifier | 35551558 | |
| dc.identifier | 85132620197 | |
| dc.identifier.citation | ElRefai, M, Abouelasaad, M, Wiles, BM, Dunn, AJ, Coniglio, S, Zemkoho, AB & Roberts, PR 2025, 'Deep learning-based insights on T:R ratio behaviour during prolonged screening for S-ICD eligibility', Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, vol. 68, no. 7, pp. 1387-1397. https://doi.org/10.1007/s10840-022-01245-6 | en |
| dc.identifier.doi | 10.1007/s10840-022-01245-6 | |
| dc.identifier.other | ORCID: /0000-0002-1226-5335/work/113027395 | |
| dc.identifier.uri | https://hdl.handle.net/2164/23416 | |
| dc.identifier.url | http://europepmc.org/abstract/med/35551558 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing | en |
| dc.subject | subcutaneous implantable cardiac defibrillator | en |
| dc.subject | deep learning methods | en |
| dc.subject | artificial intelligence | en |
| dc.subject | cardiac devices | en |
| dc.subject | R Medicine | en |
| dc.subject.lcc | R | en |
| dc.title | Deep learning-based insights on T:R ratio behaviour during prolonged screening for S-ICD eligibility | en |
| dc.type | Journal article | en |
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