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Articles Published Processes
7/22/2025 8:44:58 AM | Browse: 183 | Download: 493
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Received |
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2025-04-17 11:23 |
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Peer-Review Started |
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2025-04-17 11:24 |
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First Decision by Editorial Office Director |
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2025-04-23 11:48 |
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Return for Revision |
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2025-04-23 11:48 |
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Revised |
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2025-05-06 05:35 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-06-23 02:49 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-06-23 06:20 |
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Articles in Press |
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2025-06-23 06:20 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-07-04 03:54 |
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Publish the Manuscript Online |
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2025-07-22 08:44 |
| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. 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 |
Editorial |
| Article Title |
Artificial intelligence-enabled single-lead electrocardiogram in early detection of ischemic heart disease
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Wen-Hua Song, Gary Tse, Kang-Yin Chen and Tong Liu |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
No. 82170327 |
| National Natural Science Foundation of China |
No. 82370332 |
| Tianjin Key Medical Discipline (Specialty) Construction Project |
No. TJYXZDXK-029A |
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| Corresponding Author |
Tong Liu, Professor, 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; Ischemic heart disease; Electrocardiogram; Diagnosis |
| Core Tip |
Wearable devices equipped with electrocardiogram (ECG) capabilities offer single-lead ECG (SLECG) data and clinically acceptable performance for ischemic heart disease (IHD) detection by artificial intelligence (AI) algorithms. A key innovation is the development of AI-enabled SLECG in detecting IHD during resting conditions and stress test. The focus on portable, single-lead devices aligns with global health priorities, particularly in underserved regions. By integrating machine learning into wearable technology, this research paves the way for scalable, cost-effective IHD screening, democratizing access to early detection. |
| Publish Date |
2025-07-22 08:44 |
| Citation |
Song WH, Tse G, Chen KY, Liu T. Artificial intelligence-enabled single-lead electrocardiogram in early detection of ischemic heart disease. World J Cardiol 2025; 17(7): 108510 |
| URL |
https://www.wjgnet.com/1949-8462/full/v17/i7/108510.htm |
| DOI |
https://dx.doi.org/10.4330/wjc.v17.i7.108510 |
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