MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641110627 A) filed by Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering And Technology on September 15, 2026, for An Ai-Enabled Retinal Health Assessment Framework Using Convolutional Neural Networks For Early Blindness Detection.
Inventor includes Vorem Kishore.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: ABSTRACT [0013] The invention provides an automated deep-learning system for detecting retinal blindness from fundus images. Convolutional neural networks are trained on a curated dataset of annotated retinal images to classify each image into successive stages of retinal condition severity. Preprocessing steps that include intensity normalization and data augmentation improve the robustness of the learned features. Systematic experimentation with network architectures and training hyperparameters yields a model capable of high diagnostic accuracy. By automating the interpretation of fundus photographs, the system reduces reliance on time- consuming manual review, supports timely clinical intervention, and offers a reliable assistive tool for the diagnosis of retinal diseases and the improvement of patient care.
Disclaimer: Curated by HT Syndication.
