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Artificial intelligence-enabled electrocardiogram to distin..:
Sau, Arunashis
;
Ibrahim, Safi
;
Ahmed, Amar
...
European Heart Journal - Digital Health. 3 (2022) 3 - p. 405-414 , 2022
Link:
https://doi.org/10.1093/ehjdh/ztac042
RT Journal T1 <Title>Artificial intelligence-enabled electrocardiogram to distinguish cavotricuspid isthmus dependence from other atrial tachycardia mechanisms</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_ehjdh_ztac042&Exemplar=1&LAN=DE A1 Sau, Arunashis A1 Ibrahim, Safi A1 Ahmed, Amar A1 Handa, Balvinder A1 Kramer, Daniel B A1 Waks, Jonathan W A1 Arnold, Ahran D A1 Howard, James P A1 Qureshi, Norman A1 Koa-Wing, Michael A1 Keene, Daniel A1 Malcolme-Lawes, Louisa A1 Lefroy, David C A1 Linton, Nicholas W F A1 Lim, Phang Boon A1 Varnava, Amanda A1 Whinnett, Zachary I A1 Kanagaratnam, Prapa A1 Mandic, Danilo A1 Peters, Nicholas S A1 Ng, Fu Siong PB Oxford University Press (OUP) YR 2022 SN 2634-3916 JF European Heart Journal - Digital Health VO 3 IS 3 SP 405 OP 414 LK http://dx.doi.org/https://doi.org/10.1093/ehjdh/ztac042 DO https://doi.org/10.1093/ehjdh/ztac042 SF ELIB - SuUB Bremen
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