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Articles Published Processes
2/10/2026 10:35:33 AM | Browse: 1 | Download: 10
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Received |
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2025-03-25 07:05 |
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Peer-Review Started |
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2025-03-31 00:17 |
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First Decision by Editorial Office Director |
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2025-04-18 03:51 |
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Return for Revision |
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2025-04-20 07:39 |
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Revised |
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2025-05-10 06:17 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-08-05 02:48 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-08-05 11:16 |
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Articles in Press |
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2025-08-05 11:16 |
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Edit the Manuscript by Language Editor |
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2025-08-13 10:58 |
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Typeset the Manuscript |
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2026-01-30 00:56 |
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Publish the Manuscript Online |
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2026-02-10 10:35 |
| ISSN |
2222-0682 (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) 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 |
Health Care Sciences & Services |
| Manuscript Type |
Minireviews |
| Article Title |
Artificial intelligence in mobile health applications: A comprehensive review of its role in diabetes care
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Wen-Jie Li and Lin-Ze Li |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Lin-Ze Li, PhD, School of the Arts, University Sains Malaysia, Chancellory, Level 1, Building E42, Penang 11800, Malaysia. lilinze@student.usm.my |
| Key Words |
Artificial intelligence; Mobile health; Diabetes management; Predictive analytics; Clinical decision support; Personalized self-management |
| Core Tip |
This review highlights the transformative role of artificial intelligence in mobile health applications for diabetes care. It synthesizes recent advances in machine learning, deep learning, and natural language processing, examining their use in glucose monitoring, personalized interventions, and clinical decision support. The review also discusses ethical challenges, data privacy, and situations where artificial intelligence may become burdensome. By bridging technology and practice, this study offers insights into building more equitable, efficient, and patient-centered diabetes management systems. |
| Publish Date |
2026-02-10 10:35 |
| Citation |
Li WJ, Li LZ. Artificial intelligence in mobile health applications: A comprehensive review of its role in diabetes care. World J Methodol 2026; 16(1): 107488 |
| URL |
https://www.wjgnet.com/2222-0682/full/v16/i1/107488.htm |
| DOI |
https://dx.doi.org/10.5662/wjm.v16.i1.107488 |
© 1993-2026 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
