Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy.

Journal: Circulation. Cardiovascular imaging
Published Date: Jun 1, 2016

Abstract

BACKGROUND: Associating a patient's profile with the memories of prototypical patients built through previous repeat clinical experience is a key process in clinical judgment. We hypothesized that a similar process using a cognitive computing tool would be well suited for learning and recalling multidimensional attributes of speckle tracking echocardiography data sets derived from patients with known constrictive pericarditis and restrictive cardiomyopathy.

Authors

  • Partho P Sengupta
    Division of Cardiovascular Diseases and Hypertension, Robert Wood Johnson University Hospital, and Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
  • Yen-Min Huang
    From the Zena and Michael A. Wiener Cardiovascular Institute and the Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Mount Sinai School of Medicine, New York, NY (P.P.S., M.B.); Saffron Technology, Inc, Cary, NC (Y.-M.H., A.A., M.F., W.G.); and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY (K.S., J.T.D.).
  • Manish Bansal
    From the Zena and Michael A. Wiener Cardiovascular Institute and the Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Mount Sinai School of Medicine, New York, NY (P.P.S., M.B.); Saffron Technology, Inc, Cary, NC (Y.-M.H., A.A., M.F., W.G.); and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY (K.S., J.T.D.).
  • Ali Ashrafi
    From the Zena and Michael A. Wiener Cardiovascular Institute and the Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Mount Sinai School of Medicine, New York, NY (P.P.S., M.B.); Saffron Technology, Inc, Cary, NC (Y.-M.H., A.A., M.F., W.G.); and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY (K.S., J.T.D.).
  • Matt Fisher
    From the Zena and Michael A. Wiener Cardiovascular Institute and the Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Mount Sinai School of Medicine, New York, NY (P.P.S., M.B.); Saffron Technology, Inc, Cary, NC (Y.-M.H., A.A., M.F., W.G.); and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY (K.S., J.T.D.).
  • Khader Shameer
    From the Zena and Michael A. Wiener Cardiovascular Institute and the Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Mount Sinai School of Medicine, New York, NY (P.P.S., M.B.); Saffron Technology, Inc, Cary, NC (Y.-M.H., A.A., M.F., W.G.); and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY (K.S., J.T.D.).
  • Walt Gall
    From the Zena and Michael A. Wiener Cardiovascular Institute and the Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Mount Sinai School of Medicine, New York, NY (P.P.S., M.B.); Saffron Technology, Inc, Cary, NC (Y.-M.H., A.A., M.F., W.G.); and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY (K.S., J.T.D.).
  • Joel T Dudley
    1Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA.

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