Implementing Machine Learning in Interventional Cardiology: The Benefits Are Worth the Trouble

Implementing Machine Learning in Interventional Cardiology: The Benefits Are Worth the Trouble

Driven by recent innovations and technological progress, the increasing quality and amount of biomedical data coupled with the advances in computing power allowed for much progress in artificial intelligence (AI) approaches for health and biomedical research. In interventional cardiology, the hope i...

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Bibliographic Details
Main Authors: Walid Ben Ali, Ahmad Pesaranghader, Robert Avram, Pavel Overtchouk, Nils Perrin, Stéphane Laffite, Raymond Cartier, Reda Ibrahim, Thomas Modine, Julie G. Hussin
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-12-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
deep learning
interventional cardiology
cardiology
neural networks
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2021.711401/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2021.711401/full

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