Authors : Dr. P. Sreedevi; B. Tabitha

Volume/Issue : Volume 10 - 2025, Issue 6 - June

Google Scholar : https://tinyurl.com/mry4be4z

DOI : https://doi.org/10.38124/ijisrt/25jun396

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : DIABETIC Retinopathy is a serious eye condition. Beforehand Xdiscovery is pivotal for effective treatment. A special computer program can help descry Diabetic Retinopathy. The program uses images of the retina to make a diagnosis. This technology can prop croakers in relating the condition. Early discovery can help vision loss. Timely treatment can ameliorate patient issues. This technology has the implicit to help numerous people. The computer program uses a type of artificial intelligence. It analyzes images of the retina to descry abnormalities. The program provides accurate results. Different computer models were tested for their effectiveness. One model, called ResNet- 18, performed exceptionally well. It achieved high delicacy in detecting Diabetic Retinopathy. Diabetic Retinopathy is a significant health concern. Beforehand discovery and treatment can make a big difference. This technology can help croakers give better care.It can also ameliorate patient issues. Overall, this technology has great eventuality.

Keywords : Diabetic Retinopathy, Early Detection, Retinal Imaging, Deep Learning, Medical Technology, Vision Loss, Patient Outcomes.

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