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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Detalles Bibliográficos
Autores principales: Huang, Pang-Shuo, Tseng, Yu-Heng, Tsai, Chin-Feng, Chen, Jien-Jiun, Yang, Shao-Chi, Chiu, Fu-Chun, Chen, Zheng-Wei, Hwang, Juey-Jen, Chuang, Eric Y., Wang, Yi-Chih, Tsai, Chia-Ti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962407/
https://www.ncbi.nlm.nih.gov/pubmed/35203603
http://dx.doi.org/10.3390/biomedicines10020394

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962407/
https://www.ncbi.nlm.nih.gov/pubmed/35203603
http://dx.doi.org/10.3390/biomedicines10020394

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