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External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction

OBJECTIVE: To validate a novel artificial-intelligence electrocardiogram algorithm (AI-ECG) to detect left ventricular systolic dysfunction (LVSD) in an external population. BACKGROUND: LVSD, even when asymptomatic, confers increased morbidity and mortality. We recently derived AI-ECG to detect LVSD...

詳細記述

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書誌詳細
出版年:Int J Cardiol
主要な著者: Attia, Itzhak Zachi, Tseng, Andrew S., Benavente, Ernest Diez, Medina-Inojosa, Jose R., Clark, Taane G., Malyutina, Sofia, Kapa, Suraj, Schirmer, Henrik, Kudryavtsev, Alexander V., Noseworthy, Peter A., Carter, Rickey E., Ryabikov, Andrew, Perel, Pablo, Friedman, Paul A., Leon, David A., Lopez-Jimenez, Francisco
フォーマット: Artigo
言語:Inglês
出版事項: Elsevier 2021
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7955278/
https://ncbi.nlm.nih.gov/pubmed/33400971
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijcard.2020.12.065
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