Diabetic Retinopathy Screening: Current Advances and Future Options
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Ophthalmology".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 323
Special Issue Editors
Interests: artificial intelligence; machine learning; retinal imaging and image based diagnosis; optical coherence tomography imaging; diabetic retinopathy; macular degeneration; retinal degenerations; telemedicine; neuro-ophthalmology; AI for cardiovascular disease prediction
Special Issues, Collections and Topics in MDPI journals
Interests: retinal imaging; optical coherence tomography imaging (OCT); diabetic retinopathy; image analysis; artificial intelligence; telemedicine; age-related macular degeneration
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Diabetic retinopathy (DR) is a common complication of diabetes and remains a leading cause of severe vision loss and blindness, thus representing a significant economic burden for healthcare systems. Existing research on DR has delved into its histopathology in order to understand the associated tissue changes. In addition, imaging modalities such as fundus photography and OCT have been used for screening and evaluation, with screening guidelines being employed to determine when and who to screen. Studies on the progression of DR progression and the socio-economic effects on DR progression are also underway, while AI-based screening is emerging as a useful approach.
Future efforts will focus on advancing imaging technology, improving the accuracy of AI, developing personalized treatments, exploring preventive measures, and assessing long-term patient outcomes.
This Special Issue aims to present studies that address DR screening and evaluation using existing imaging modalities; assess DR screening and the prediction of DR progression using AI-based approaches; provide comprehensive reviews of current advances; and evaluate the adoption of DR screening tools in the primary care physician (PCP) setting, the cost effectiveness of DR screening using public health data, and the future directions of DR screening.
Dr. Alauddin Bhuiyan
Prof. Dr. Roland Theodore Smith
Guest Editors
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Keywords
- diabetic retinopathy
- diabetic retinopathy screening
- retinal imaging
- age-related macular degeneration
- artificial intelli-gence
- image analysis
- color fundus photography
- optical coherence tomography imaging
- telemedicine
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