Artificial Intelligence in Cardiovascular Medicine: An Updated Review of the Literature

Overview

Journal J Cardiovasc Thorac Res

Specialty Cardiology & Vascular Diseases

Date 2024 Feb 15

PMID 38357567

Authors

Arian Zargarzadeh

Elnaz Javanshir

Alireza Ghaffari

Erfan Mosharkesh

Babak Anari

Affiliations

Soon will be listed here.

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.

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