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Copyright: ©Author(s) 2026. 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.
World J Hypertens. Sep 26, 2026; 12(1): 124669
Published online Sep 26, 2026. doi: 10.5494/wjh.124669
Retina as a window to systemic hypertension: From hypertensive retinopathy to artificial intelligence-driven microvascular biomarkers
Yehya Tlaiss, Serena Akiki, Naynawa Moussawi, Reine Zeidan, Abbas Zghaib, Issam Fassih
Yehya Tlaiss, Serena Akiki, Naynawa Moussawi, Reine Zeidan, Abbas Zghaib, Issam Fassih, Department of Ophthalmology, University of Balamand, Beirut 1100, Beyrouth, Lebanon
Author contributions: Tlaiss Y conceived and designed the review, developed and executed the literature search strategy, performed evidence synthesis and wrote the manuscript; Akiki S and Moussawi N performed title, abstract and full-text screening and data extraction, and constructed the evidence tables; Zeidan R and Zghaib A performed the supplementary hand-search of reference lists, verified all extracted quantitative data against the primary sources and prepared the figures; Fassih I supervised the project, arbitrated screening disagreements and critically revised the manuscript for important intellectual content; and all authors have read and approved the final version of the manuscript.
AI contribution statement: The authors take full responsibility and accountability for all content of this manuscript, including any portions for which AI tools were used as assistive technologies. All AI-assisted outputs were carefully reviewed, validated, and approved by the authors. AI tools were not used to generate original scientific data, perform independent scientific analyses, or draw scientific conclusions.
Conflict-of-interest statement: All authors declare that they have no conflicts of interest relevant to this manuscript.
Corresponding author: Yehya Tlaiss, MD, Department of Ophthalmology, University of Balamand, Hazmieh, Beirut 1100, Beyrouth, Lebanon. yehyatlaiss@gmail.com
Received: June 23, 2026
Revised: July 25, 2026
Accepted: September 18, 2026
Published online: September 26, 2026
Processing time: 93 Days and 9.2 Hours
Core Tip

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.

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