MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202511125105 A) filed by Swami Rama Himalayan University, Dehradun, Uttarakhand, on Dec. 11, 2025, for 'a system for ai-based corneal image analysis for early keratoconus detection.'
Inventor(s) include Rashda Rahman; and Pramod Kumar.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The invention relates to ophthalmic imaging and diagnostic systems, providing an integrated framework comprising a high-resolution image acquisition module, an image processing module, an AI algorithm analysis module, a diagnostic output module, and an electronic health record integration module. The system captures high-definition corneal images using controlled illumination, pre-processes the data with noise reduction and contrast enhancement, and applies deep learning techniques-including convolutional neural networks, with optional multilayer perceptron or recurrent neural network architectures-to perform semantic segmentation. This segmentation distinguishes normal corneal tissue from areas exhibiting thinning or irregular curvature, ultimately generating a diagnostic output as a risk score or binary indication. The sequential inter-module communication, furnished by wired or wireless connectivity, also facilitates secure integration with external electronic health records."
Disclaimer: Curated by HT Syndication.
