Computer-Interpreted Electrocardiograms: Impact on Cardiology Practice

Shyla Gupta, Anthony H. Kashou, Robert Herman, Stephen Smith, Adam May, Ana G. Múnera Echeverri, Mildren Del Sueldo, Ana C. Berni, Juan Farina, Sebastian Garcia-Zamora, Adrian Baranchuk

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

In the realm of modern cardiology, the integration of computer-interpreted electrocardiograms (CI-ECGs) has marked the beginning of a new era of diagnostic precision and efficiency. Contemporary electrocardiogram (ECG) integration systems, applying algorithms and artificial intelligence, have modernized the interpretation of heart rhythms and cardiac morphology. Due to their ability to rapidly analyze and interpret ECG recordings CI-ECGs have already profoundly impacted clinical practice. This review explores the evolution of computer interpreted ECG technology, evaluates the pros and cons of current automatic reporting systems, analyzes the growing role of artificial intelligence on ECG interpretation technologies, and discusses emerging applications that may have transformative effects on patient outcomes. Emphasis is placed on the role of ECGs in the automatic diagnosis of occlusion myocardial infarctions (OMI). AI models enhance accuracy and efficiency in ECG interpretation, offering insights into cardiac function and aiding timely detection of concerning patterns.

Original languageEnglish
Article numbere20240079
JournalInternational Journal of Cardiovascular Sciences
Volume37
DOIs
StatePublished - 2024

Keywords

  • Artificial Intelligence
  • Cardiology
  • Electrocardiography
  • Machine Learning

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