Erroneous electrocardiographic interpretations and its clinical implications.

Journal: Journal of cardiovascular electrophysiology
PMID: 37272686

Abstract

INTRODUCTION: The advancement of artificial intelligence (AI) has aided clinicians in the interpretation of electrocardiograms (ECGs) serving as an essential tool to provide rapid triage and care. However, in some cases, AI can misinterpret an ECG and may mislead the interpreting physician. Therefore, we aimed to describe the rate of ECG misinterpretation and its potential clinical impact in patient's management.

Authors

  • Ayesha Shaik
    Division of Cardiology, Hartford Hospital, Hartford, Connecticut, USA.
  • Nirav Patel
    Division of Cardiology, Hartford Hospital, Hartford, Connecticut, USA.
  • Chikezie Alvarez
    Division of Cardiology, Hartford Hospital, Hartford, Connecticut, USA.
  • Gregory Panza
    Research Administration, Hartford HealthCare, Hartford, Connecticut, USA.
  • William L Baker
    Division of Cardiology, Hartford Hospital, Hartford, Connecticut, USA.
  • Sean McMahon
    Division of Cardiology, Hartford Hospital, Hartford, Connecticut, USA.
  • Jeffrey Kluger
    Division of Cardiology, Hartford Hospital, Hartford, Connecticut, USA.

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