Authors - Prema Sahane, Shreyas Borse, Kartik Narkhede, Manasi Choudhari, Pradnya GaikWad, Ashwini Bhosale, Rutuja Khedkar Abstract - An innovative strategy to address one of the main causes of blindness in diabetic patients is presented in AI-Vision: Forecasting Diabetic Retinopathy for Preventive Care. Through sophisticated predictive modelling, this study uses artificial intelligence (AI) to transform the diagnosis and treatment of diabetic retinopathy (DR). Our approach improves the accuracy of DR diagnosis and makes it easier to identify risk factors that contribute to the progression of the disease by combining cutting-edge Convolutional Neural Networks (CNNs) with extensive medical datasets. Healthcare practitioners may now use individualized preventative tactics based on patient profiles thanks to our cutting-edge model, which uses real-time data analytics to deliver actionable insights. By empowering doctors to intervene promptly, this proactive approach not only seeks to identify DR in its early stages but also lowers the likelihood of serious sequelae .Our research also shows how AI can be used to streamline automated screening processes. AI-Vision hopes to establish a new benchmark in preventative healthcare by bridging the gap between ophthalmology and AI, with the ultimate goal of eradicating avoidable blindness in diabetic populations worldwide.
