Submitted: 27 Nov 2023
Accepted: 10 Dec 2023
ePublished: 30 Dec 2023
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J Cardiovasc Thorac Res. 2023;15(4): 204-209.
doi: 10.34172/jcvtr.2023.33031
PMID: 38357567
PMCID: PMC10862032
  Abstract View: 356
  PDF Download: 423

Review Article

Artificial intelligence in cardiovascular medicine: An updated review of the literature

Arian Zargarzadeh 1 ORCID logo, Elnaz Javanshir 2, Alireza Ghaffari 3* ORCID logo, Erfan Mosharkesh 4* ORCID logo, Babak Anari 5

1 Central Toronto Academy, Toronto, Canada
2 Cardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
3 Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
4 Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran
5 Department of Computer Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
*Corresponding Authors: Alireza Ghaffari, Email: Alireza.ghf.10@gmail.com; Erfan Mosharkesh, Email: erfanmosharkesh@gmail.com


Screening and early detection of cardiovascular disease (CVD) are crucial for managing progress and preventing related morbidity. In recent years, several studies have reported the important role of Artificial intelligence (AI) technology and its integration into various medical sectors. AI applications are able to deal with the massive amounts of data (medical records, ultrasounds, medications, and experimental results) generated in medicine and identify novel details that would otherwise be forgotten in the mass of healthcare data sets. Nowadays, AI algorithms are currently used to improve diagnosis of some CVDs including heart failure, atrial fibrillation, hypertrophic cardiomyopathy and pulmonary hypertension. This review summarized some AI concepts, critical execution requirements, obstacles, and new applications for CVDs.
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