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Articles Published Processes
7/20/2026 7:08:31 AM | Browse: 4 | Download: 6
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Received |
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2026-02-05 01:03 |
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Peer-Review Started |
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2026-02-05 01:05 |
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First Decision by Editorial Office Director |
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2026-03-13 09:22 |
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Return for Revision |
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2026-03-13 09:22 |
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Revised |
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2026-03-17 14:07 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-06-10 02:33 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-06-10 07:57 |
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Articles in Press |
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2026-06-10 07:57 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-07-16 02:17 |
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Publish the Manuscript Online |
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2026-07-20 07:08 |
| 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 |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Opinion Review |
| Article Title |
Advances in the application of artificial intelligence-enhanced electrocardiogram to non-cardiovascular diseases
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Wen-Hua Song, Xing-Liang Wu, Gary Tse and Tong Liu |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Tianjin Key Medical Discipline Construction Project |
TJYXZDXK-3-006B |
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| Corresponding Author |
Tong Liu, PhD, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, No. 23 Pingjiang Road, Hexi District, Tianjin 300211, China. liutongdoc@126.com |
| Key Words |
Artificial intelligence; Machine learning; Electrocardiogram; Application; Non-cardiovascular diseases |
| Core Tip |
This article systematically reviews the latest advances in artificial intelligence-enhanced electrocardiogram for the diagnosis and evaluation of non-cardiovascular diseases. It summarizes its value in identifying and predicting risks across various conditions, including liver and kidney diseases, pulmonary embolism, and electrolyte disturbances. The opinion review also discusses the strengths, limitations, and future directions of this technology, aiming to inform clinicians and support clinical decision-making. |
| Publish Date |
2026-07-20 07:08 |
| Citation |
Song WH, Wu XL, Tse G, Liu T. Advances in the application of artificial intelligence-enhanced electrocardiogram to non-cardiovascular diseases. World J Cardiol 2026; 18(7): 119678
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| URL |
https://www.wjgnet.com/1949-8462/full/v18/i7/119678.htm |
| DOI |
https://doi.org/10.4330/wjc.119678 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.
