Title of article
Artificial intelligence in cardiovascular medicine: An updated review of the literature
Author/Authors
Zargarzadeh ، Arian Central Toronto Academy , Javanshir ، Elnaz Cardiovascular Research Center - Tabriz University of Medical Sciences , Ghaffari ، Alireza Faculty of Electrical and Computer Engineering - University of Tabriz , Mosharkesh ، Erfan Faculty of Veterinary Medicine - University of Tabriz , Anari ، Babak Department of Computer Engineering - Islamic Azad University, Shabestar Branch
From page
204
To page
209
Abstract
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.
Keywords
Artificial intelligence , Cardiovascular disease , Healthcare
Journal title
Journal of Cardiovascular and Thoracic Research (JCVTR)
Journal title
Journal of Cardiovascular and Thoracic Research (JCVTR)
Record number
2754362
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