ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation.

Journal: Circulation
Published Date: Nov 8, 2021

Abstract

BACKGROUND: Artificial intelligence (AI)-enabled analysis of 12-lead ECGs may facilitate efficient estimation of incident atrial fibrillation (AF) risk. However, it remains unclear whether AI provides meaningful and generalizable improvement in predictive accuracy beyond clinical risk factors for AF.

Authors

  • Shaan Khurshid
    Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Samuel Friedman
    Data Sciences Platform (S.F., P.D.A., N.D., P.B., A.A.P.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge.
  • Christopher Reeder
    Data Sciences Platform (S.F., C.R., P.D.A., N.D., P.S., G.S., A.A.P., P.B.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge.
  • Paolo Di Achille
    Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Nathaniel Diamant
    Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Pulkit Singh
    Data Sciences Platform (S.F., C.R., P.D.A., N.D., P.S., G.S., A.A.P., P.B.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge.
  • Lia X Harrington
    Cardiovascular Research Center (S.K., L.X.H., X.W., M.A.A., P.T.E., J.E.H., S.A.L.), Massachusetts General Hospital, Boston.
  • Xin Wang
    Key Laboratory of Bio-based Material Science & Technology (Northeast Forestry University), Ministry of Education, Harbin 150040, China.
  • Mostafa A Al-Alusi
    Division of Cardiology (S.K., M.A.A., J.E.H.), Massachusetts General Hospital, Boston.
  • Gopal Sarma
    Data Sciences Platform (S.F., C.R., P.D.A., N.D., P.S., G.S., A.A.P., P.B.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge.
  • Andrea S Foulkes
    Biostatistics Center (A.S.F.), Massachusetts General Hospital, Boston.
  • Patrick T Ellinor
    Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Christopher D Anderson
    Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Jennifer E Ho
    Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Anthony A Philippakis
    Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Puneet Batra
    Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Steven A Lubitz
    Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts.

Keywords

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