Artificial Intelligence in Cardiovascular Disease Prevention: Is it Ready for Prime Time?

Journal: Current atherosclerosis reports
Published Date: May 23, 2024

Abstract

PURPOSE OF REVIEW: This review evaluates how Artificial Intelligence (AI) enhances atherosclerotic cardiovascular disease (ASCVD) risk assessment, allows for opportunistic screening, and improves adherence to guidelines through the analysis of unstructured clinical data and patient-generated data. Additionally, it discusses strategies for integrating AI into clinical practice in preventive cardiology.

Authors

  • Shyon Parsa
    Department of Medicine, Stanford University, Stanford, California, USA.
  • Sulaiman Somani
    Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA.
  • Ramzi Dudum
    Department of Cardiovascular Medicine, Stanford University, Stanford, CA, USA.
  • Sneha S Jain
    Division of Cardiology, Stanford University School of Medicine, Palo Alto, California, USA.
  • Fatima Rodriguez
    From the Division of Cardiovascular Medicine, Cardiovascular Institute (F.R., R.A.H.), Department of Medicine (F.R., R.A.H.).

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