Artificial Intelligence Interpretation of the Electrocardiogram: A State-of-the-Art Review.

Journal: Current cardiology reports
PMID: 38753291

Abstract

PURPOSE OF REVIEW: Artificial intelligence (AI) is transforming electrocardiography (ECG) interpretation. AI diagnostics can reach beyond human capabilities, facilitate automated access to nuanced ECG interpretation, and expand the scope of cardiovascular screening in the population. AI can be applied to the standard 12-lead resting ECG and single-lead ECGs in external monitors, implantable devices, and direct-to-consumer smart devices. We summarize the current state of the literature on AI-ECG.

Authors

  • Benjamin Ose
    The University of Kansas School of Medicine, Kansas City, KS, USA.
  • Zeeshan Sattar
    Division of General and Hospital Medicine, The University of Kansas Medical Center, Kansas City, KS, USA.
  • Amulya Gupta
    Department of Cardiovascular Medicine, The University of Kansas Medical Center, Kansas City, KS, USA.
  • Christian Toquica
    Trinity Health Oakland Hospital, Pontiac, MI, USA.
  • Chris Harvey
    Department of Cardiovascular Medicine, The University of Kansas Medical Center, Kansas City, KS, USA.
  • Amit Noheria

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