AI Article Synopsis
- Diabetic retinopathy (DR) is a serious eye complication caused by diabetes and is a leading cause of blindness, especially in working-age adults.
- The prevalence of DR is rising globally, particularly in low to middle-income countries, but much of the vision loss can be prevented with early detection and intervention.
- The review covers recent advancements in predicting DR using novel biomarkers, improving screening methods, and developing new treatment strategies to combat vision loss from conditions like diabetic macular oedema (DME).
Article Abstract
Diabetic retinopathy (DR) is a major ocular complication of diabetes and the leading cause of blindness and visual impairment, particularly among adults of working-age adults. Although the medical and economic burden of DR is significant and its global prevalence is expected to increase, particularly in low- and middle-income countries, a large portion of vision loss caused by DR remains preventable through early detection and timely intervention. This perspective reviewed the latest developments in research and innovation in three areas, first novel biomarkers (including advanced imaging modalities, serum biomarkers, and artificial intelligence technology) to predict the incidence and progression of DR, second, screening and early detection of referable DR and vision-threatening DR (VTDR), and finally, novel therapeutic strategies for VTDR, including diabetic macular oedema (DME), with the goal of reducing diabetic blindness.
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| http://dx.doi.org/10.1016/j.apjo.2024.100109 | DOI Listing |
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