Publication Name	World Journal of Hypertension
Manuscript ID	124669
DOI	10.5494/wjh.124669
Country	Lebanon

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
Manuscript Source	Invited Manuscript
All Author List	Yehya Tlaiss, Serena Akiki, Naynawa Moussawi, Reine Zeidan, Abbas Zghaib and Issam Fassih
Funding Agency and Grant Number
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.
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; In press DOI: https://doi.org/10.5494/wjh.124669
PDF	124669-in-press.pdf

Received	2026-06-23 03:22
Peer-Review Started	2026-06-23 03:22
First Decision by Editorial Office Director
Return for Revision	2026-07-16 09:22
Revised	2026-07-25 16:25
Publication Fee Transferred
Second Decision by Editor	2026-09-18 02:48
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-09-18 10:42
Articles in Press	2026-09-18 10:42
Edit the Manuscript by Language Editor
Typeset the Manuscript

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.
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com