• 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 ...