Artificial Intelligence in Intracoronary Imaging.

Journal: Current cardiology reports
Published Date: May 29, 2020

Abstract

PURPOSE OF REVIEW: This paper investigates present uses and future potential of artificial intelligence (AI) applied to intracoronary imaging technologies.

Authors

  • Russell Fedewa
    Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, 44195, USA.
  • Rishi Puri
    Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio; Cleveland Clinic Coordinating Center for Clinical Research (C5R), Cleveland, Ohio. Electronic address: purir@ccf.org.
  • Eitan Fleischman
    Department of Internal Medicine, New York Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY, 11215, USA.
  • Juhwan Lee
    Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
  • David Prabhu
    Case Western Reserve Univ., United States.
  • David L Wilson
    Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio 44106 and Department of Radiology, Case Western Reserve University, Cleveland, Ohio 44106.
  • D Geoffrey Vince
    Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, 44195, USA.
  • Aaron Fleischman
    Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, 44195, USA. fleisca@ccf.org.

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