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AI Prediction of Treatment Response in DME
Sponsor: Benha University
Summary
Diabetic macular edema (DME) is a leading cause of vision loss among individuals with diabetes mellitus. Although intravitreal anti-vascular endothelial growth factor (anti-VEGF) therapy is the standard treatment for center-involved DME, treatment response varies considerably between patients. Recent advances in artificial intelligence (AI), including machine learning (ML) and deep learning (DL), have enabled automated analysis of retinal imaging biomarkers to predict anatomical and functional treatment outcomes. This study aims to systematically evaluate published evidence regarding AI-based prediction models and imaging biomarkers used to predict treatment response in patients with DME. The review will assess the predictive performance of AI models, identify the most important imaging biomarkers, compare different AI approaches and imaging modalities, and summarize methodological strengths, limitations, and research gaps to support future development of precision ophthalmology.
Official title: Artificial Intelligence and Imaging Biomarkers for Predicting Treatment Response in Diabetic Macular Edema: A Systematic Review
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
1284
Start Date
2025-05-15
Completion Date
2025-06-30
Last Updated
2026-07-16
Healthy Volunteers
No
Interventions
Artificial Intelligence-Based Imaging Analysis
Participants undergo retinal imaging analysis using artificial intelligence-based prediction models developed from optical coherence tomography (OCT), optical coherence tomography angiography (OCTA), fundus photography, and relevant clinical variables. The AI algorithms are used to predict treatment response in diabetic macular edema, including anatomical and functional outcomes following anti-vascular endothelial growth factor (anti-VEGF), corticosteroid, laser, or combination therapies. The AI analysis does not alter clinical management and is performed for predictive evaluation only.
Locations (1)
Benha University
Banhā, Benha, Egypt