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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955278/
https://www.ncbi.nlm.nih.gov/pubmed/33400971
http://dx.doi.org/10.1016/j.ijcard.2020.12.065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955278/
https://www.ncbi.nlm.nih.gov/pubmed/33400971
http://dx.doi.org/10.1016/j.ijcard.2020.12.065

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