Artificial Intelligence in Ischemic Heart Disease Prevention.

Journal: Current cardiology reports
PMID: 39891819

Abstract

PURPOSE OF REVIEW: This review discusses the transformative potential of artificial intelligence (AI) in ischemic heart disease (IHD) prevention. It explores advancements of AI in predictive modeling, biomarker discovery, and cardiovascular imaging. Finally, considerations for clinical integration of AI into preventive cardiology workflows are reviewed.

Authors

  • Shyon Parsa
    Department of Medicine, Stanford University, Stanford, California, USA.
  • Priyansh Shah
    Department of Internal Medicine, Jacobi Hospital/Albert Einstein College of Medicine, New York City, NY, USA.
  • Ritu Doijad
    Montefiore Medical Center, New York City, NY, 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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