Abstract
Artificial intelligence (AI) has reshaped significant aspects of our lives, including its role in healthcare.
AI is a machine-based system that can make predictions, recommendations, and decisions influencing real or virtual environments of a given set of human-defined objectives. It is designed to operate with varying levels of autonomy.
Since cardiovascular medicine is rapidly progressing and new technologies are introduced to cardiovascular tools, AI has become valuable in cardiovascular medicine. This narrative review will discuss the general concept of AI and its role in diagnosing cardiovascular diseases, including ECG, echocardiography, cardiac CT, nuclear cardiology, cardiac MRI, cardiac catheterization, electrophysiology, heart failure, clinical decision support system, and face recognition.
New Emirates Medical Journal
Title:Artificial Intelligence and Cardiovascular Diseases
Volume: 5
Author(s): Rami Younes and Abdallah Almaghraby*
Affiliation:
- Department of Cardiology , Ibrahim Bin Hamad Obaidallah Hospital, Ras Al Khaimah, United Arab Emirates
Abstract:
Artificial intelligence (AI) has reshaped significant aspects of our lives, including its role in healthcare.
AI is a machine-based system that can make predictions, recommendations, and decisions influencing real or virtual environments of a given set of human-defined objectives. It is designed to operate with varying levels of autonomy.
Since cardiovascular medicine is rapidly progressing and new technologies are introduced to cardiovascular tools, AI has become valuable in cardiovascular medicine. This narrative review will discuss the general concept of AI and its role in diagnosing cardiovascular diseases, including ECG, echocardiography, cardiac CT, nuclear cardiology, cardiac MRI, cardiac catheterization, electrophysiology, heart failure, clinical decision support system, and face recognition.
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Cite this article as:
Younes Rami and Almaghraby Abdallah*, Artificial Intelligence and Cardiovascular Diseases, New Emirates Medical Journal 2024; 5 : e02506882278697 . https://dx.doi.org/10.2174/0102506882278697231205102229
DOI https://dx.doi.org/10.2174/0102506882278697231205102229 |
Print ISSN 0250-6882 |
Publisher Name Bentham Science Publisher |
Online ISSN 0250-6882 |
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