Artificial Intelligence Assessment of Biological Age From Transthoracic Echocardiography: Discrepancies with Chronologic Age Predict Significant Excess Mortality.

Journal: Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Published Date: May 11, 2024

Abstract

BACKGROUND: Age and sex can be estimated using artificial intelligence on the basis of various sources. The aims of this study were to test whether convolutional neural networks could be trained to estimate age and predict sex using standard transthoracic echocardiography and to evaluate the prognostic implications.

Authors

  • Kobi Faierstein
    Leviev Cardiovascular Institute, Sheba Medical Center, Ramat Gan, Israel; Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel. Electronic address: kobi.faierstein@sheba.health.gov.il.
  • Michael Fiman
    Aisap.ai, Ramat Gan, Israel.
  • Ranel Loutati
    Leviev Cardiovascular Institute, Sheba Medical Center, Ramat Gan, Israel.
  • Noa Rubin
    Aisap.ai, Ramat Gan, Israel.
  • Uri Manor
    Waitt Advanced Biophotonics Center, Salk Institute for Biological Studies, La Jolla, CA, USA. umanor@salk.edu.
  • Adiel Am-Shalom
    Aisap.ai, Ramat Gan, Israel.
  • Michal Cohen-Shelly
    Department of Cardiovascular Medicine Mayo Clinic Rochester MN.
  • Nimrod Blank
    Echocardiography Unit, Division of Cardiovascular Medicine, Baruch-Padeh Medical Center, Poria, Israel.
  • Dor Lotan
    NewYork-Presbyterian/Columbia University Irving Medical Center, New York, New York, US.
  • Qiong Zhao
    Inova Heart and Vascular Institute, Inova Fairfax Hospital, Falls Church, Virginia.
  • Ehud Schwammenthal
    Leviev Cardiovascular Institute, Sheba Medical Center, Ramat Gan, Israel; Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel; Aisap.ai, Ramat Gan, Israel.
  • Robert Klempfner
    The Leviev Heart Center, Sheba Medical Center, Tel Hashomer, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Eyal Zimlichman
    Sheba Medical Center, Tel Hashomer, Israel.
  • Ehud Raanani
    Leviev Cardiovascular Institute, Sheba Medical Center, Ramat Gan, Israel; Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel; Aisap.ai, Ramat Gan, Israel.
  • Elad Maor
    Leviev Cardiovascular Institute, Sheba Medical Center, Ramat Gan, Israel; Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel; Aisap.ai, Ramat Gan, Israel.

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