The Emerging Role of Artificial Intelligence in Valvular Heart Disease.

Journal: Heart failure clinics
PMID: 37230652

Abstract

Valvular heart disease (VHD) is a morbid condition in which timely identification and evidence-based treatments can lead to improved outcomes. Artificial intelligence broadly refers to the ability for computers to perform tasks and problem solve like the human mind. Studies applying AI to VHD have used a variety of structured (eg, sociodemographic, clinical) and unstructured (eg, electrocardiogram, phonocardiogram, and echocardiograms) and machine learning modeling approaches. Additional researches in diverse populations, including prospective clinical trials, are needed to evaluate the effectiveness and value of AI-enabled medical technologies in clinical care for patients with VHD.

Authors

  • Caroline Canning
    Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, 676 North St. Clair Street, Suite 600, Chicago, IL 60611, USA; Bluhm Cardiovascular Institute Center for Artificial Intelligence, Northwestern Medicine, Chicago, IL, USA. Electronic address: https://twitter.com/carolinecanning.
  • James Guo
    Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, 676 North St. Clair Street, Suite 600, Chicago, IL 60611, USA; Bluhm Cardiovascular Institute Center for Artificial Intelligence, Northwestern Medicine, Chicago, IL, USA.
  • Akhil Narang
    Cardiac Imaging Center, University of Chicago Medical Center, Chicago, Illinois.
  • James D Thomas
    Bluhm Cardiovascular Institute, Department of Cardiology, Northwestern University, Chicago, Illinois. Electronic address: Jthomas8@nm.org.
  • Faraz S Ahmad
    Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

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