Using Artificial Intelligence to Semi-Quantitate Coronary Calcium as an 'Incidentaloma' on Non-Gated, Non-Contrast CT Scans, A Single-Center Descriptive Study in West Michigan.

Journal: Spartan medical research journal
Published Date:

Abstract

INTRODUCTION: Non-gated, non-contrast computed tomography (CT) scans are commonly ordered for a variety of non-cardiac indications, but do not routinely comment on the presence of coronary artery calcium (CAC)/atherosclerotic cardiovascular disease (ASCVD) which is known to correlate with increased cardiovascular risk. Artificial intelligence (AI) algorithms can help detect and quantify CAC/ASCVD which can lead to early treatment and improved outcomes.

Authors

  • Connor C Kerndt
    Internal Medicine Spectrum Health/Michigan State University College of Human Medicine.
  • Rajus Chopra
    Department of Cardiology Spectrum Health/Michigan State University College of Human Medicine.
  • Paul Weber
    Internal Medicine Spectrum Health/Michigan State University: College of Human Medicine.
  • Amy Rechenberg
    Department of Cardiology Spectrum Health/Michigan State University.
  • Daniel Summers
    Department of Internal Medicine Spectrum Health/Michigan State College of Human Medicine.
  • Thomas Boyden
    Department of Cardiology Spectrum Health/Michigan State University College of Human Medicine.
  • David Langholz
    Department of Cardiology Spectrum Health/Michigan State University College of Human Medicine.

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