Literature DB >> 34619340

The Evolving Role of Artificial Intelligence in Cardiac Image Analysis.

Pascal Theriault Lauzier1, Robert Avram2, Damini Dey3, Piotr Slomka3, Jonathan Afilalo4, Benjamin J W Chow5.   

Abstract

Research in artificial intelligence (AI) has progressed over the past decade. The field of cardiac imaging has seen significant developments using newly developed deep learning methods for automated image analysis and AI tools for disease detection and prognostication. This review is aimed at those without special background in AI. We review AI concepts and survey the growing contemporary applications of AI for image analysis in echocardiography, nuclear cardiology, cardiac computed tomography, cardiac magnetic resonance, and invasive angiography.
Copyright © 2021 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

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Year:  2021        PMID: 34619340     DOI: 10.1016/j.cjca.2021.09.030

Source DB:  PubMed          Journal:  Can J Cardiol        ISSN: 0828-282X            Impact factor:   5.223


  1 in total

1.  Accuracy of Deep Learning Echocardiographic View Classification in Patients with Congenital or Structural Heart Disease: Importance of Specific Datasets.

Authors:  Felix K Wegner; Maria L Benesch Vidal; Philipp Niehues; Kevin Willy; Robert M Radke; Philipp D Garthe; Lars Eckardt; Helmut Baumgartner; Gerhard-Paul Diller; Stefan Orwat
Journal:  J Clin Med       Date:  2022-01-28       Impact factor: 4.241

  1 in total

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