An Artificial Intelligence-Enabled ECG Algorithm for the Prediction and Localization of Angiography-Proven Coronary Artery Disease

An Artificial Intelligence-Enabled ECG Algorithm for the Prediction and Localization of Angiography-Proven Coronary Artery Disease

(1) Background: The role of using artificial intelligence (AI) with electrocardiograms (ECGs) for the diagnosis of significant coronary artery disease (CAD) is unknown. We first tested the hypothesis that using AI to read ECG could identify significant CAD and determine which vessel was obstructed....

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Bibliographic Details
Main Authors: Pang-Shuo Huang, Yu-Heng Tseng, Chin-Feng Tsai, Jien-Jiun Chen, Shao-Chi Yang, Fu-Chun Chiu, Zheng-Wei Chen, Juey-Jen Hwang, Eric Y. Chuang, Yi-Chih Wang, Chia-Ti Tsai
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Biomedicines
Subjects:
artificial intelligence
deep learning
convolutional neural network
coronary artery disease
Online Access:https://www.mdpi.com/2227-9059/10/2/394

Internet

https://www.mdpi.com/2227-9059/10/2/394

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