{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T13:26:06Z","timestamp":1787318766722,"version":"build-2736575974"},"reference-count":19,"publisher":"Elsevier BV","issue":"1","license":[{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T00:00:00Z","timestamp":1673481600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["T32H110837"],"award-info":[{"award-number":["T32H110837"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Cardiovascular Digital Health Journal"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1016\/j.cvdhj.2023.01.002","type":"journal-article","created":{"date-parts":[[2023,1,19]],"date-time":"2023-01-19T23:21:38Z","timestamp":1674170498000},"page":"21-28","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":24,"title":["Artificial intelligence\u2013enabled mobile electrocardiograms for event prediction in paroxysmal atrial fibrillation"],"prefix":"10.1016","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3464-2629","authenticated-orcid":false,"given":"Ananditha","family":"Raghunath","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7025-4442","authenticated-orcid":false,"given":"Dan D.","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1203-0621","authenticated-orcid":false,"given":"Matthew","family":"Schram","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5099-6438","authenticated-orcid":false,"given":"David","family":"Albert","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shyamnath","family":"Gollakota","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9495-0968","authenticated-orcid":false,"given":"Linda","family":"Shapiro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arun R.","family":"Sridhar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.cvdhj.2023.01.002_bib1","doi-asserted-by":"crossref","first-page":"2264","DOI":"10.1161\/CIRCULATIONAHA.111.019893","article-title":"Atrial fibrillation pathophysiology","volume":"124","author":"Iwasaki","year":"2011","journal-title":"Circulation"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib2","doi-asserted-by":"crossref","first-page":"492","DOI":"10.7326\/0003-4819-131-7-199910050-00003","article-title":"Antithrombotic therapy to prevent stroke in patients with atrial fibrillation: a meta-analysis","volume":"131","author":"Hart","year":"1999","journal-title":"Ann Intern Med"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib3","doi-asserted-by":"crossref","first-page":"2516","DOI":"10.1161\/CIRCULATIONAHA.108.821306","article-title":"Atrial fibrillation and heart failure","volume":"119","author":"Anter","year":"2009","journal-title":"Circulation"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib4","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1002\/clc.22667","article-title":"Silent atrial fibrillation: epidemiology, diagnosis, and clinical impact","volume":"40","author":"Dilaveris","year":"2017","journal-title":"Clin Cardiol"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib5","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1161\/CIRCULATIONAHA.111.029801","article-title":"Prolonged rhythm monitoring for the detection of occult paroxysmal atrial fibrillation in ischemic stroke of unknown cause","volume":"124","author":"Seet","year":"2011","journal-title":"Circulation"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib6","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1161\/STROKEAHA.113.003433","article-title":"Detection of atrial fibrillation after ischemic stroke or transient ischemic attack","volume":"45","author":"Kishore","year":"2014","journal-title":"Stroke"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib7","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1016\/S0140-6736(19)31721-0","article-title":"An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction","volume":"394","author":"Attia","year":"2021","journal-title":"Lancet"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib8","doi-asserted-by":"crossref","first-page":"1287","DOI":"10.1161\/CIRCULATIONAHA.120.047829","article-title":"Deep neural networks can predict new-onset atrial fibrillation from the 12-lead ECG and help identify those at risk of atrial fibrillation\u2013related stroke","volume":"143","author":"Raghunath","year":"2021","journal-title":"Circulation"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib9","doi-asserted-by":"crossref","first-page":"983","DOI":"10.1161\/01.STR.22.8.983","article-title":"Atrial fibrillation as an independent risk factor for stroke: the Framingham Study","volume":"22","author":"Wolf","year":"1991","journal-title":"Stroke"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib10","doi-asserted-by":"crossref","first-page":"1909","DOI":"10.1056\/NEJMoa1901183","article-title":"Large-scale assessment of a smartwatch to identify atrial fibrillation","volume":"381","author":"Perez","year":"2019","journal-title":"N Engl J Med"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib11","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1186\/s12872-016-0327-y","article-title":"A single-center randomized, controlled trial investigating the efficacy of a mHealth ECG technology intervention to improve the detection of atrial fibrillation: the iHEART study protocol","volume":"16","author":"Hickey","year":"2016","journal-title":"BMC Cardiovasc Disord"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib12","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.jacep.2018.10.006","article-title":"The WATCH AF Trial: SmartWATCHes for Detection of Atrial Fibrillation","volume":"5","author":"Marcus","year":"2019","journal-title":"JACC Clin Electrophysiol"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib13","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1093\/europace\/euaa139","article-title":"Mobile health applications for the detection of atrial fibrillation: a systematic review","volume":"23","author":"Lopez Perales","year":"2021","journal-title":"Europace"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib14","unstructured":"Association for the Advancement of Medical Instrumentation. ANSI\/AAMI\/IEC 60601-2-47:2012 (R2016).\u00a02012."},{"key":"10.1016\/j.cvdhj.2023.01.002_bib15","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib17","doi-asserted-by":"crossref","first-page":"1481","DOI":"10.1161\/STROKEAHA.114.004800","article-title":"Mechanical discordance of the left atrium and appendage: a novel mechanism of stroke in paroxysmal atrial fibrillation","volume":"45","author":"Warraich","year":"2014","journal-title":"Stroke"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib18","doi-asserted-by":"crossref","first-page":"1199","DOI":"10.1016\/S0002-9149(98)00089-7","article-title":"Left atrial appendage function assessed by transesophageal echocardiography before and on the day after elective cardioversion for nonvalvular atrial fibrillation","volume":"81","author":"Bellotti","year":"1998","journal-title":"Am J Cardiol"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib19","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1161\/01.STR.26.9.1527","article-title":"Newly diagnosed atrial fibrillation and acute stroke","volume":"26","author":"Lin","year":"1995","journal-title":"Stroke"},{"key":"10.1016\/j.cvdhj.2023.01.002_bib20","doi-asserted-by":"crossref","first-page":"1446","DOI":"10.1136\/heartjnl-2015-307550","article-title":"Atrial flutter and thromboembolic risk: a systematic review","volume":"101","author":"Vadmann","year":"2015","journal-title":"Heart"}],"container-title":["Cardiovascular Digital Health Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2666693623000026?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2666693623000026?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T04:11:03Z","timestamp":1763007063000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2666693623000026"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2]]},"references-count":19,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["S2666693623000026"],"URL":"https:\/\/doi.org\/10.1016\/j.cvdhj.2023.01.002","relation":{},"ISSN":["2666-6936"],"issn-type":[{"value":"2666-6936","type":"print"}],"subject":[],"published":{"date-parts":[[2023,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Artificial intelligence\u2013enabled mobile electrocardiograms for event prediction in paroxysmal atrial fibrillation","name":"articletitle","label":"Article Title"},{"value":"Cardiovascular Digital Health Journal","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cvdhj.2023.01.002","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Published by Elsevier Inc. on behalf of Heart Rhythm Society.","name":"copyright","label":"Copyright"}]}}