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Articles Published Processes
6/26/2023 8:56:35 AM | Browse: 202 | Download: 460
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Received |
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2023-04-11 22:56 |
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Peer-Review Started |
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2023-04-11 22:58 |
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To Make the First Decision |
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Return for Revision |
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2023-04-20 01:56 |
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Revised |
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2023-05-02 22:57 |
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Second Decision |
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2023-06-21 02:58 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-06-21 06:36 |
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Articles in Press |
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2023-06-21 06:36 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2023-06-17 09:46 |
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Typeset the Manuscript |
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2023-06-21 06:53 |
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Publish the Manuscript Online |
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2023-06-26 08:56 |
ISSN |
1949-8462 (online) |
Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Cardiac & Cardiovascular Systems |
Manuscript Type |
Minireviews |
Article Title |
Current role and future perspectives of artificial intelligence in echocardiography
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Manuscript Source |
Invited Manuscript |
All Author List |
Rafael Vidal-Perez, Julia Grapsa, Alberto Bouzas-Mosquera, Ricardo Fontes-Carvalho and Jose Manuel Vazquez-Rodriguez |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Rafael Vidal-Perez, FACC, FESC, PhD, Reader (Associate Professor), Staff Physician, Servicio de Cardiología, Unidad de Imagen y Función Cardíaca, Complexo Hospitalario Universitario A Coruña Centro de Investigación Biomédica en Red-Instituto de Salud Carlos III, As Xubias de Arriba-84, A Coruña 15006, Spain. rafavidal@hotmail.com |
Key Words |
Echocardiography; Artificial intelligence; Machine learning; Deep learning; Prognosis |
Core Tip |
Artificial intelligence (AI) is the process of having a computational program that can perform tasks of human intelligence (e.g., pattern recognition) by mimicking human thought processes. Echocardiography is an essential tool in diagnostic cardiology and is fundamental to clinical care. AI could help the health care providers by one side serving as a valuable diagnostic tool for physicians in the field of echocardiography specially on the automation of measurements and by the other side helping on the interpretation of results. The current role of this technique is described in this review and its future perspectives are covered through the text highlighting the obstacles and advantages expected on this implementation. |
Publish Date |
2023-06-26 08:56 |
Citation |
Vidal-Perez R, Grapsa J, Bouzas-Mosquera A, Fontes-Carvalho R, Vazquez-Rodriguez JM. Current role and future perspectives of artificial intelligence in echocardiography. World J Cardiol 2023; 15(6): 284-292 |
URL |
https://www.wjgnet.com/1949-8462/full/v15/i6/284.htm |
DOI |
https://dx.doi.org/10.4330/wjc.v15.i6.284 |
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