Blar i forfatter "Friedman, Paul A."

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    • Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypes 

      Libiseller-Egger, Julian; Phelan, Jody E.; Attia, Zachi I.; Benavente, Ernest Diez; Campino, Susana; Friedman, Paul A.; Lopez-Jimenez, Francisco; Leon, David A.; Clark, Taane G. (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-12-31)
      Artifcial intelligence (AI)-based approaches can now use electrocardiograms (ECGs) to provide expertlevel performance in detecting heart abnormalities and diagnosing disease. Additionally, patient age predicted from ECGs by AI models has shown great potential as a biomarker for cardiovascular age, where recent work has found its deviation from chronological age (“delta age”) to be associated ...

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

      Attia, Itzhak Zachi; Tseng, Andrew S.; Benavente, Ernest Diez; Medina-Inojosa, Jose R.; Clark, Taane; Malyutina, Sofia; Kapa, Suraj; Schirmer, Henrik; Kudryavtsev, Alexander V; Noseworthy, Peter A.; Carter, Rickey E.; Ryabikov, Andrey; Perel, Pablo; Friedman, Paul A.; Leon, David A.; Lopez-Jimenez, Francisco (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-01-02)
      Objective - To validate a novel artificial-intelligence electrocardiogram algorithm (AI-ECG) to detect left ventricular systolic dysfunction (LVSD) in an external population.<p> <p>Background - LVSD, even when asymptomatic, confers increased morbidity and mortality. We recently derived AI-ECG to detect LVSD using ECGs based on a large sample of patients treated at the Mayo Clinic.<p> <p>Methods ...

    • Studying accelerated cardiovascular ageing in Russian adults through a novel deep-learning ECG biomarker 

      Benavente, Ernest Diez; Jimenez-Lopez, Francisco; Attia, Zachi I.; Malyutina, Sofia; Kudryavtsev, Alexander; Ryabikov, Andrey; Friedman, Paul A.; Kapa, Suraj; Voevoda, Michael; Perel, Pablo; Schirmer, Henrik; Hughes, Alun D.; Clark, Taane; Leon, David A. (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-01-25)
      Background: A non-invasive, easy-to-access marker of accelerated cardiac ageing would provide novel insights into the mechanisms and aetiology of cardiovascular disease (CVD) as well as contribute to risk stratification of those who have not had a heart or circulatory event. Our hypothesis is that differences between an ECG-predicted and chronologic age of participants (δage) would reflect accelerated ...