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

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

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Veröffentlicht in:	International journal of cardiology 2021-04, Vol.329, p.130-135
Hauptverfasser:	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
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Basale medisinske, odontologiske og veterinærmedisinske fag: 710 Basic medical, dental and veterinary science disciplines: 710 Electrocardiogram Left ventricular systolic dysfunction Machine learning Medical disciplines: 700 Medisinske Fag: 700 VDP
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