This research is critically important because the ongoing aging of the population and the rising incidence of diabetes are causing a significant increase in conditions such as age-related macular degeneration and diabetic retinopathy, placing an increasing burden on already overstretched global healthcare systems. This situation is particularly critical in low- and middle-income countries, where trained specialists are scarce. AI-based systems could play a crucial role in implementing cost-effective universal screening and improving early treatment. The work is directly applicable to medicine by providing the potential for automated global screening of eye diseases, leading to earlier detection and referral, accelerating treatment by personalizing guidelines for individual patients, and improving patient adherence and compliance. The authors predict that the field of ophthalmology will be profoundly transformed by the global adoption of these technologies within the next two to five years, moving toward a future where AI systems enable significant improvements in patient management.