MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043828 A) filed by KKR & KSR Institute of Technology and Sciences, Guntur, Andhra Pradesh, on April 6, for 'deep learning-driven retinal image analysis system for early diagnosis of diabetic retinopathy.'
Inventor(s) include Dr. S. Nagendram; D. Sravanthi; Ms. P. Lakshmi Sahithi; Ms. P. Akshaya; Ms. N. Himabindu; Ms. P. Tejasri; and Ms. P. Sumathi.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "Diabetic Retinopathy (DR) is a serious diabetes-related eye disease that damages the retinal blood vessels and is one of the leading causes of preventable blindness worldwide. In its early stages, the disease often shows no visible symptoms, making timely detection essential to prevent irreversible vision loss. Conventional screening methods depend on manual examination of retinal fundus images by ophthalmologists, which is time-consuming, costly, and limited by the availability of trained specialists, especially in rural and resource-constrained regions. Additionally, manual diagnosis is subjective and prone to human error.This project presents an Artificial Intelligence-based automated system for the early detection and classification of Diabetic Retinopathy using deep learning and image processing techniques. Retinal fundus images are preprocessed to enhance critical features, and a Convolutional Neural Network (CNN) is employed to automatically extract features and classify the disease into different severity stages. The proposed system provides fast, accurate, and consistent diagnostic results, assisting ophthalmologists in clinical decision-making. By enabling large-scale screening and reducing diagnostic delays, the system improves accessibility to eye care services and contributes to effective prevention of diabetes-induced vision impairment."
Disclaimer: Curated by HT Syndication.
