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. 2024 Sep;67(6):1327-1329.
doi: 10.1007/s10840-024-01803-0. Epub 2024 Apr 11.

Time to capitalise on artificial intelligence in cardiac electrophysiology

Neil Bodagh  1 , Magda Klis  2 , Ali Gharaviri  3 , Vinush Vigneswaran  3 , Keeran Vickneson  3 , Michelle C Williams  3 , Steven Niederer  2 , Mark O'Neill  2 , Steven E Williams  3
Affiliations

Time to capitalise on artificial intelligence in cardiac electrophysiology

Neil Bodagh et al. J Interv Card Electrophysiol. 2024 Sep.
No abstract available

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References

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    1. Baldazzi G, Orrù M, Viola G, et al. Computer-aided detection of arrhythmogenic sites in post-ischemic ventricular tachycardia. Sci Rep. 2023;13(1):6906. https://doi.org/10.1038/S41598-023-33866-W .
    1. Tang S, Razeghi O, Kapoor R, et al. Machine learning-enabled multimodal fusion of intra-atrial and body surface signals in prediction of atrial fibrillation ablation outcomes. Circ Arrhythm Electrophysiol. 2022;15:500–9. - DOI
    1. Williams SE, Roney CH, Connolly A, et al. OpenEP: a cross-platform electroanatomic mapping data format and analysis platform for electrophysiology research. Front Physiol. 2021;12:160. - DOI

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