Echocardiography-Based Deep Learning Model to Differentiate Constrictive Pericarditis and Restrictive Cardiomyopathy.

Journal: JACC. Cardiovascular imaging
Published Date:

Abstract

BACKGROUND: Constrictive pericarditis (CP) is an uncommon but reversible cause of diastolic heart failure if appropriately identified and treated. However, its diagnosis remains a challenge for clinicians. Artificial intelligence may enhance the identification of CP.

Authors

  • Chieh-Ju Chao
    Department of Radiology, Radiology Informatics Lab, Mayo Clinic, Rochester, MN 55905, United States.
  • Jiwoong Jeong
    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA.
  • Reza Arsanjani
    Department of Cardiovascular Diseases, Mayo Clinic, Scottsdale, AZ.
  • Kihong Kim
    Mayo Clinic Rochester, Rochester, Minnesota, USA.
  • Yi-Lin Tsai
    Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Wen-Chung Yu
    Taipei Veterans General Hospital, Taipei, Taiwan.
  • Juan M Farina
    Mayo Clinic Arizona, Scottsdale, Arizona, USA.
  • Ahmed K Mahmoud
    Mayo Clinic Arizona, Scottsdale, Arizona, USA.
  • Chadi Ayoub
    Mayo Clinic Arizona, Scottsdale, Arizona, USA.
  • Martha Grogan
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Garvan C Kane
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Imon Banerjee
    Mayo Clinic, Department of Radiology, Scottsdale, AZ, USA.
  • Jae K Oh
    Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.