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Articles Published Processes
9/22/2026 1:59:47 AM | Browse: 2 | Download: 1
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Received |
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2026-06-23 03:22 |
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Peer-Review Started |
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2026-06-23 03:22 |
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First Decision by Editorial Office Director |
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Return for Revision |
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2026-07-16 09:22 |
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Revised |
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2026-07-25 16:25 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-09-18 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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2026-09-18 10:42 |
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Articles in Press |
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2026-09-18 10:42 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-09-21 00:29 |
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Publish the Manuscript Online |
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2026-09-22 01:59 |
| ISSN |
2220-3168 (online) |
| Open Access |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Minireviews |
| Article Title |
Retina as a window to systemic hypertension: From hypertensive retinopathy to artificial intelligence-driven microvascular biomarkers
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Yehya Tlaiss, Serena Akiki, Naynawa Moussawi, Reine Zeidan, Abbas Zghaib and Issam Fassih |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Yehya Tlaiss, Ophthalmology, University of Balamand, Hazmieh, Beirut 1100, Beyrouth, Lebanon. yehyatlaiss@gmail.com |
| Key Words |
Hypertensive retinopathy; Retinal vessels; Microvascular biomarkers; Optical coherence tomography angiography; Deep learning; Artificial intelligence; Cardiovascular risk |
| Core Tip |
The retina offers a directly visualisable model of the systemic microcirculation, and the integration of quantitative vascular metrics with deep-learning analysis of fundus images now allows blood pressure and cardiovascular risk to be inferred non-invasively at population scale. Realising this potential requires standardisation of measurement, validation across ethnicities and prospective demonstration that retina-derived biomarkers improve clinical decisions beyond established risk scores. |
| Publish Date |
2026-09-22 01:59 |
| Citation |
Tlaiss Y, Akiki S, Moussawi N, Zeidan R, Zghaib A, Fassih I. Retina as a window to systemic hypertension: From hypertensive retinopathy to artificial intelligence-driven microvascular biomarkers. World J Hypertens 2026; 12(1): 124669
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| URL |
https://www.wjgnet.com/2220-3168/full/v12/i1/124669.htm |
| DOI |
https://doi.org/10.5494/wjh.124669 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
