Publication Name	World Journal of Diabetes
Manuscript ID	117094
Country	Italy

Category	Ophthalmology
Manuscript Type	Opinion Review
Article Title	From pixels to precision: Artificial intelligence in diabetic eye disease screening and management
Manuscript Source	Invited Manuscript
All Author List	Francesco Cappellani, Matteo Capobianco, Federico Visalli, Marieme Khouyyi, Mutali Musa, Alessandro Avitabile, Inferrera Leandro, Rosa Giglio, Daniele Tognetto, Caterina Gagliano, Fabiana D’Esposito and Marco Zeppieri
Funding Agency and Grant Number
Corresponding Author	Marco Zeppieri, Consultant, MD, PhD, Department of Ophthalmology, University Hospital of Udine, Maria Della Misericordia 15, Udine 33100, Italy. mark.zeppieri@asufc.sanita.fvg.it
Key Words	Artificial intelligence; Ophthalmic imaging; Diabetic retinopathy; Deep learning; Macular edema
Core Tip	Artificial intelligence (AI) is transforming diabetic eye care through automated detection, risk assessment, and precision management. Deep learning algorithms utilized in fundus photography and optical coherence tomography imaging now equal or surpass experienced graders in the detection of diabetic retinopathy and macular edema. In addition to screening, AI incorporates multimodal data – such as systemic parameters, imaging biomarkers, and treatment histories – to predict disease progression and therapeutic outcomes. This review articulates contemporary clinical uses, technical underpinnings, and translational obstacles, while delineating potential trajectories for the development of explainable, morally robust, and globally scalable AI systems that can revolutionize the management of diabetic eye disease.
Citation	Cappellani F, Capobianco M, Visalli F, Khouyyi M, Musa M, Avitabile A, Leandro I, Giglio R, Tognetto D, Gagliano C, D’Esposito F, Zeppieri M. From pixels to precision: Artificial intelligence in diabetic eye disease screening and management. World J Diabetes 2026; In press

Received	2025-11-28 00:59
Peer-Review Started	2025-12-01 09:01
First Decision by Editorial Office Director	2025-12-23 10:09
Return for Revision	2025-12-23 10:09
Revised	2025-12-30 12:04
Publication Fee Transferred
Second Decision by Editor	2026-02-03 02:48
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-02-10 06:33
Articles in Press	2026-02-10 06:33
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-9358 (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) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
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