{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T10:48:30Z","timestamp":1773226110369,"version":"3.50.1"},"reference-count":16,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["The American Journal of Emergency Medicine"],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1016\/j.ajem.2022.04.032","type":"journal-article","created":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T20:12:41Z","timestamp":1650917561000},"page":"98-102","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":9,"special_numbering":"C","title":["Evaluating atrial fibrillation artificial intelligence for the ED: statistical and clinical implications"],"prefix":"10.1016","volume":"57","author":[{"given":"Ann E.","family":"Kaminski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael L.","family":"Albus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Colleen T.","family":"Ball","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Launia J.","family":"White","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johnathan M.","family":"Sheele","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zachi I.","family":"Attia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul A.","family":"Friedman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Demilade A.","family":"Adedinsewo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter A.","family":"Noseworthy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.ajem.2022.04.032_bb0005","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.ajem.2022.04.032_bb0010","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1161\/CIRCRESAHA.120.316340","article-title":"Epidemiology of atrial fibrillation in the 21st century: novel methods and new insights","volume":"127","author":"Kornej","year":"2020","journal-title":"Circ Res"},{"key":"10.1016\/j.ajem.2022.04.032_bb0015","doi-asserted-by":"crossref","first-page":"1873","DOI":"10.1016\/S0140-6736(17)31072-3","article-title":"The future of atrial fibrillation management: integrated care and stratified therapy","volume":"390","author":"Kirchhof","year":"2017","journal-title":"Lancet"},{"key":"10.1016\/j.ajem.2022.04.032_bb0020","doi-asserted-by":"crossref","DOI":"10.1161\/CIRCOUTCOMES.116.002864","article-title":"Atrial fibrillation diagnosis timing, ambulatory ECG monitoring utilization, and risk of recurrent stroke","volume":"10","author":"Lip","year":"2017","journal-title":"Circ Cardiovasc Qual Outcomes"},{"key":"10.1016\/j.ajem.2022.04.032_bb0025","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.ijcard.2008.11.122","article-title":"Survival after stroke--the impact of CHADS2 score and atrial fibrillation","volume":"141","author":"Henriksson","year":"2010","journal-title":"Int J Cardiol"},{"key":"10.1016\/j.ajem.2022.04.032_bb0030","first-page":"3128","article-title":"Investigating palpitations: the role of Holter monitoring and loop recorders","volume":"358","author":"Abi Khalil","year":"2017","journal-title":"BMJ"},{"key":"10.1016\/j.ajem.2022.04.032_bb0035","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13063-018-3098-1","volume":"19","author":"Reed","year":"2018","journal-title":"Trials"},{"key":"10.1016\/j.ajem.2022.04.032_bb0040","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":"2019","journal-title":"Lancet"},{"key":"10.1016\/j.ajem.2022.04.032_bb0045","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1038\/s41569-020-00503-2","article-title":"Artificial intelligence-enhanced electrocardiography in cardiovascular disease management","volume":"18","author":"Siontis","year":"2021","journal-title":"Nat Rev Cardiol"},{"key":"10.1016\/j.ajem.2022.04.032_bb0050","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1016\/j.ahj.2009.08.002","article-title":"Electrocardiographic predictors of atrial fibrillation","volume":"158","author":"Perez","year":"2009","journal-title":"Am Heart J"},{"issue":"1","key":"10.1016\/j.ajem.2022.04.032_bb0055","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.jacc.2019.01.011","volume":"74","author":"January","year":"2019","journal-title":"J Am Coll Cardiol"},{"key":"10.1016\/j.ajem.2022.04.032_bb0060","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1378\/chest.09-1584","article-title":"Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation","volume":"137","author":"Lip","year":"2010","journal-title":"Chest"},{"issue":"3","key":"10.1016\/j.ajem.2022.04.032_bb0065","doi-asserted-by":"crossref","first-page":"837","DOI":"10.2307\/2531595","article-title":"Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach","volume":"44","author":"DeLong","year":"1988","journal-title":"Biometrics"},{"issue":"11","key":"10.1016\/j.ajem.2022.04.032_bb0070","doi-asserted-by":"crossref","first-page":"1389","DOI":"10.1109\/LSP.2014.2337313","article-title":"Fast implementation of DeLong\u2019s algorithm for comparing the areas under correlated receiver operating characteristic curves","volume":"21","author":"Sun","year":"2014","journal-title":"Signal Process Lett IEEE"},{"issue":"1","key":"10.1016\/j.ajem.2022.04.032_bb0075","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1002\/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3","article-title":"Index for rating diagnostic tests","volume":"3","author":"Youden","year":"1950","journal-title":"Cancer"},{"key":"10.1016\/j.ajem.2022.04.032_bb0080","doi-asserted-by":"crossref","DOI":"10.1161\/CIRCOUTCOMES.121.008153","article-title":"Use of artificial intelligence tools across different clinical settings: a cautionary tale","volume":"14","author":"Siontis","year":"2021","journal-title":"Circ Cardiovasc Qual Outcomes"}],"container-title":["The American Journal of Emergency Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0735675722002625?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0735675722002625?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T16:00:56Z","timestamp":1760025656000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0735675722002625"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":16,"alternative-id":["S0735675722002625"],"URL":"https:\/\/doi.org\/10.1016\/j.ajem.2022.04.032","relation":{},"ISSN":["0735-6757"],"issn-type":[{"value":"0735-6757","type":"print"}],"subject":[],"published":{"date-parts":[[2022,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Evaluating atrial fibrillation artificial intelligence for the ED: statistical and clinical implications","name":"articletitle","label":"Article Title"},{"value":"The American Journal of Emergency Medicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ajem.2022.04.032","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}