Successes and challenges of artificial intelligence in cardiology

Bert Vandenberk; Derek S Chew; Dinesh Prasana; Sunny Gupta; Derek V Exner

doi:10.3389/fdgth.2023.1201392

Successes and challenges of artificial intelligence in cardiology

Front Digit Health. 2023 Jun 28:5:1201392. doi: 10.3389/fdgth.2023.1201392. eCollection 2023.

Authors

Bert Vandenberk^{1

2}, Derek S Chew¹, Dinesh Prasana^{3

4}, Sunny Gupta³, Derek V Exner¹

Affiliations

¹ Department of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
² Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
³ Intelense Inc., Markham, ON, Canada.
⁴ IOT/AI- Caliber Interconnect Pvt Ltd., Coimbatore, India.

Abstract

In the past decades there has been a substantial evolution in data management and data processing techniques. New data architectures made analysis of big data feasible, healthcare is orienting towards personalized medicine with digital health initiatives, and artificial intelligence (AI) is becoming of increasing importance. Despite being a trendy research topic, only very few applications reach the stage where they are implemented in clinical practice. This review provides an overview of current methodologies and identifies clinical and organizational challenges for AI in healthcare.

Keywords: artificial intelligence; big data; cardiology; electrophysiolgy; synthetic data.

Publication types

Review