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Present and future screening programs for diabetic retinopathy: a narrative review.
Andreas Abou Taha1, Sebastian Dinesen2,3,4, Anna Stage Vergmann2,3
1Department of Ophthalmology, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense, Denmark. Andreas.abou.taha@rsyd.dk.
Diabetic retinopathy (DR) screening programs are evolving globally. Technological advancements like AI and handheld cameras improve accessibility and cost-effectiveness, especially in low-resource settings, addressing the rising prevalence of this sight-threatening complication.
Area of Science:
- Ophthalmology
- Public Health
- Medical Technology
Background:
- Diabetes is a growing global health issue, with diabetic retinopathy (DR) being a major cause of vision loss.
- Effective screening programs are crucial but face challenges due to varying healthcare resources worldwide.
- High-income countries are implementing national screening programs, while progress in low- and middle-income countries is slower.
Purpose of the Study:
- To review the global landscape of diabetic retinopathy screening programs.
- To highlight the impact of technological advancements on DR screening accessibility and effectiveness.
- To discuss the challenges and future directions for DR screening, particularly in resource-limited settings.
Main Methods:
- This narrative review synthesizes current literature on diabetic retinopathy epidemiology and screening strategies.
- It examines various screening modalities, including fundus photography and emerging technologies like AI-powered algorithms and mobile retinal cameras.
- The review analyzes the implementation status of national screening programs across different income-level countries.
Main Results:
- Many high-income nations have established national diabetic eye screening programs (DESP).
- Lower-income countries show limited implementation of DESP, with screening often sporadic and not evidence-based.
- Newer technologies like 2-4 field fundus imaging, handheld cameras, and AI algorithms demonstrate high sensitivity and specificity, offering cost-effective solutions.
Conclusions:
- Technological advancements are enhancing the cost-effectiveness and accessibility of DR screening.
- AI and handheld devices show promise for improving DR detection, especially in underserved regions.
- Further global efforts are needed to implement and optimize DR screening programs to prevent vision loss.
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