A systematic review on the impact of artificial intelligence on electrocardiograms in cardiology.

Journal: International journal of medical informatics
Published Date: Dec 9, 2024

Abstract

BACKGROUND: Artificial intelligence (AI) has revolutionized numerous industries, enhancing efficiency, scalability, and insight generation. In cardiology, particularly through electrocardiogram (ECG) analysis, AI has the potential to improve diagnostic accuracy and reduce the time needed for diagnosis. This systematic review explores the integration of AI, machine learning (ML), and deep learning (DL) in ECG analysis, focusing on their impact on predictive diagnostics and treatment support in cardiology.

Authors

  • Oluwafemi Ayotunde Oke
    Department of Computer Information Systems, Near East University, Nicosia 99138, Cyprus; Computer Information Systems Research and Technology Centre, Turkey. Electronic address: oke.oluwafemi_a@yahoo.com.
  • Nadire Cavus
    Department of Computer Information Systems, Near East University, 99138, Nicosia, Cyprus.

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