{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T21:52:45Z","timestamp":1791237165911,"version":"4.1.0"},"reference-count":42,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2024,2,8]],"date-time":"2024-02-08T00:00:00Z","timestamp":1707350400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Major Science and Technology Projects","award":["2018AAA0100201"],"award-info":[{"award-number":["2018AAA0100201"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81970325"],"award-info":[{"award-number":["81970325"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61906127"],"award-info":[{"award-number":["61906127"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81901825"],"award-info":[{"award-number":["81901825"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62306192"],"award-info":[{"award-number":["62306192"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Achievement Transformation Fund of West China Hospital of Sichuan University","award":["CGZH19009"],"award-info":[{"award-number":["CGZH19009"]}]},{"DOI":"10.13039\/501100018542","name":"Natural Science Foundation of Sichuan Province","doi-asserted-by":"publisher","award":["2023NSFSC1638"],"award-info":[{"award-number":["2023NSFSC1638"]}],"id":[{"id":"10.13039\/501100018542","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Sichuan Science and Technology Program","award":["2022ZDZX0030"],"award-info":[{"award-number":["2022ZDZX0030"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,5,20]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Aims<\/jats:title>\n                  <jats:p>Permanent pacemaker implantation and left bundle branch block are common complications after transcatheter aortic valve replacement (TAVR) and are associated with impaired prognosis. This study aimed to develop an artificial intelligence (AI) model for predicting conduction disturbances after TAVR using pre-procedural 12-lead electrocardiogram (ECG) images.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods and results<\/jats:title>\n                  <jats:p>We collected pre-procedural 12-lead ECGs of patients who underwent TAVR at West China Hospital between March 2016 and March 2022. A hold-out testing set comprising 20% of the sample was randomly selected. We developed an AI model using a convolutional neural network, trained it using five-fold cross-validation and tested it on the hold-out testing cohort. We also developed and validated an enhanced model that included additional clinical features. After applying exclusion criteria, we included 1354 ECGs of 718 patients in the study. The AI model predicted conduction disturbances in the hold-out testing cohort with an area under the curve (AUC) of 0.764, accuracy of 0.743, F1 score of 0.752, sensitivity of 0.876, and specificity of 0.624, based solely on pre-procedural ECG images. The performance was better than the Emory score (AUC = 0.704), as well as the logistic (AUC = 0.574) and XGBoost (AUC = 0.520) models built with previously identified high-risk ECG patterns. After adding clinical features, there was an increase in the overall performance with an AUC of 0.779, accuracy of 0.774, F1 score of 0.776, sensitivity of 0.794, and specificity of 0.752.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>Artificial intelligence\u2013enhanced ECGs may offer better predictive value than traditionally defined high-risk ECG patterns.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ehjdh\/ztae007","type":"journal-article","created":{"date-parts":[[2024,2,8]],"date-time":"2024-02-08T20:30:51Z","timestamp":1707424251000},"page":"219-228","source":"Crossref","is-referenced-by-count":9,"title":["Electrocardiogram-based prediction of conduction disturbances after transcatheter aortic valve replacement with convolutional neural network"],"prefix":"10.1093","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9767-0603","authenticated-orcid":false,"given":"Yuheng","family":"Jia","sequence":"first","affiliation":[{"name":"Department of Cardiology, West China Hospital, Sichuan University , No.37 Guoxue Street, Chengdu 610041 , P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiming","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Cardiology, West China Hospital, Sichuan University , No.37 Guoxue Street, Chengdu 610041 , P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gaden","family":"Luosang","sequence":"additional","affiliation":[{"name":"Machine Intelligence Laboratory, College of Computer Science, Sichuan University , No.24 South Section 1, Yihuan Road, Chengdu 610065 , P. R. China"},{"name":"Department of Information Science and Technology, Tibet University, No.10 Zangda East Road, Lhasa 850000, Tibet, P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianyong","family":"Wang","sequence":"additional","affiliation":[{"name":"Machine Intelligence Laboratory, College of Computer Science, Sichuan University , No.24 South Section 1, Yihuan Road, Chengdu 610065 , P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gang","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Cardiology, West China Hospital, Sichuan University , No.37 Guoxue Street, Chengdu 610041 , P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingzhou","family":"Pu","sequence":"additional","affiliation":[{"name":"Department of Cardiology, West China Hospital, Sichuan University , No.37 Guoxue Street, Chengdu 610041 , P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weili","family":"Jiang","sequence":"additional","affiliation":[{"name":"Machine Intelligence Laboratory, College of Computer Science, Sichuan University , No.24 South Section 1, Yihuan Road, Chengdu 610065 , P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjian","family":"Li","sequence":"additional","affiliation":[{"name":"Machine Intelligence Laboratory, College of Computer Science, Sichuan University , No.24 South Section 1, Yihuan Road, Chengdu 610065 , P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengang","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Cardiology, West China Hospital, Sichuan University , No.37 Guoxue Street, Chengdu 610041 , P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Cardiology, West China Hospital, Sichuan University , No.37 Guoxue Street, Chengdu 610041 , P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Feng","sequence":"additional","affiliation":[{"name":"Department of Cardiology, West China Hospital, Sichuan University , No.37 Guoxue Street, Chengdu 610041 , P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiafu","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Cardiology, West China Hospital, Sichuan University , No.37 Guoxue Street, Chengdu 610041 , P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanning","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Cardiology, West China Hospital, Sichuan University , No.37 Guoxue Street, Chengdu 610041 , P. R. 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propensity-matched analysis in patients with a bicuspid or tricuspid aortic valve: a benchmark for transcatheter aortic valve replacement","volume":"58","author":"Haunschild","year":"2020","journal-title":"Eur J Cardiothorac Surg"},{"key":"2024052015253747000_ztae007-B4","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.jcin.2014.07.022","article-title":"Predictors and clinical outcomes of permanent pacemaker implantation after transcatheter aortic valve replacement: the PARTNER (Placement of AoRtic TraNscathetER Valves) trial and registry","volume":"8","author":"Nazif","year":"2015","journal-title":"JACC Cardiovasc Interv"},{"key":"2024052015253747000_ztae007-B5","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1161\/CIRCULATIONAHA.117.028352","article-title":"Conduction disturbances after transcatheter aortic valve replacement: current status and future 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