Introduction: Diabetic retinopathy (DR), glaucoma and Age-related Macular Degeneration (AMD) are among the leading causes of blindness worldwide.The global prevalence of each of these ocular pathologies is projected to increase significantly in the coming decades.DR is a microvascular complication of diabetes that damages capillaries of the retina.Glaucoma is a neurodegenerative eye disease of the optic nerve, which causes progressive structural loss of retinal ganglion cells.AMD is a progressive degenerative retina disease of the macula.In each of these diseases, early detection is crucial to preventing or slowing the progression to an advanced stage of irreversible vision loss.Therefore, it is imperative that early detection methods, such as OCT and AI, are adopted to aid in the prevention of severe visual complications of DR, glaucoma, and AMD.Methods: An extensive literature review was conducted focused on whether OCT scans can be effectively used to detect and diagnose early changes in DR, glaucoma, and AMD.CDC VEHSS prevalence data was collected from 2015-2019 for various subtypes of DR, glaucoma, and AMD in multiple disease stages at the national (United States), state (New York) and county (Monroe and Erie) level.The data was then stratified by age, gender, race and stage of the disease.This information was analyzed for trends.The intersection of early diagnosis, AI and OCT is then evaluated for possible recommendations to prevent blindness from these diseases.Results: The data showed that overall prevalence of AMD of any stage at the national, state and county level increased from 2015 to 2019.Both early and late-stage AMD was most commonly diagnosed in individuals who were non-Hispanic White, female or age 85 or older.For glaucoma of any type, the overall prevalence also
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