Publication Name	Artificial Intelligence in Medical Imaging
Manuscript ID	124716
DOI	10.35711/aimi.124716
Country	India

Category	Computer Science, Artificial Intelligence
Manuscript Type	Minireviews
Article Title	Artificial intelligence-driven imaging in sickle cell retinopathy: Advancing early detection, risk stratification, and precision ophthalmology
Manuscript Source	Invited Manuscript
All Author List	Tarun Sahu, Deepankar Mondal, Yashwant Kumar Ratre and Henu Kumar Verma
Funding Agency and Grant Number
Corresponding Author	Henu Kumar Verma, Assistant Professor, Department of Bioscience and Biomedical Engineering, Indian Institute of Technology, Kutelabhata, Bhilai 491002, Chhattisgarh, India. henu.verma@iitbhilai.ac.in
Key Words	Sickle cell retinopathy; Artificial intelligence; Deep learning; Retinal imaging; Optical coherence tomography; Angiography; Fluorescein angiography
Core Tip	Sickle cell retinopathy (SCR) is a serious visual consequence of sickle cell disease that is frequently asymptomatic until late stages, making early detection difficult. Recent breakthroughs in artificial intelligence (AI), notably deep learning and machine learning methods, have improved the analysis of retinal imaging modalities such fundus photography, fluorescein angiography, optical coherence tomography and optical coherence tomography angiography. This review covers current AI-driven methodologies for SCR screening, diagnosis, staging, and disease monitoring, emphasizing their clinical value, limits, and potential for early intervention and individualized ophthalmic treatment.
Citation	Sahu T, Mondal D, Ratre YK, Verma HK. Artificial intelligence-driven imaging in sickle cell retinopathy: Advancing early detection, risk stratification, and precision ophthalmology. Artif Intell Med Imaging 2026; In press DOI: https://doi.org/10.35711/aimi.124716
PDF	124716-in-press.pdf

Received	2026-06-23 02:27
Peer-Review Started	2026-06-23 02:27
First Decision by Editorial Office Director
Return for Revision	2026-08-04 09:09
Revised	2026-08-15 13:11
Publication Fee Transferred
Second Decision by Editor	2026-10-16 03:39
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-10-16 09:25
Articles in Press	2026-10-16 09:25
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3260 (online)
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Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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