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

被引：6

作者：

Zargarzadeh, Arian ^{[1
]}

Javanshir, Elnaz ^{[2
]}

Ghaffari, Alireza ^{[3
]}

Mosharkesh, Erfan ^{[4
]}

Anari, Babak ^{[5
]}

机构：

[1] Cent Toronto Acad, Toronto, ON, Canada

[2] Tabriz Univ Med Sci, Cardiovasc Res Ctr, Tabriz, Iran

[3] Univ Tabriz, Fac Elect & Comp Engn, Tabriz, Iran

[4] Univ Tabriz, Fac Vet Med, Tabriz, Iran

[5] Islamic Azad Univ, Shabestar Branch, Dept Comp Engn, Shabestar, Iran

来源：

JOURNAL OF CARDIOVASCULAR AND THORACIC RESEARCH | 2023年 / 15卷 / 04期

关键词：

Artificial intelligence; Cardiovascular disease; Healthcare; ISCHEMIC-HEART-DISEASE; AGE-RELATED SIGNS; PULMONARY-HYPERTENSION; GENERAL-POPULATION; RISK; DYSFUNCTION; PREDICTION;

D O I：

10.34172/jcvtr.2023.33031

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

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.

引用

页码：204 / 209

页数：6

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