MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641111464 A) filed by Saveetha Institute Of Medical And Technical Sciences on September 17, 2026, for Ocular Surface Layer Evaluation Using Mobile Applications.
Inventors include Abhiram D; Dr. C. Sivasankar; Dr. Divyabharathi Nandakumar; and Dr Ramya Mohan.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: The Ocular Surface Layer Evaluation Application is an Android-based artificial intelligence system designed to analyze captured eye images and predict possible ocular surface diseases. The application enables users to capture or upload an image of the eye, which is then processed using a trained Convolutional Neural Network (CNN) model integrated within the mobile device. One of the key features of the system is Al-based disease classification, where the model evaluates image patterns and provides the predicted disease name along with a confidence percentage. The application is developed as a mobile-based healthcare screening tool intended for general public use, enabling individuals to perform preliminary ocular surface evaluation using artificial intelligence technology. The system ensures secure data handling, fast processing, and mobile-based accessibility without requiring expensive clinical equipment. Overall, the application combines AI-based image processing, disease classification, and real-time prediction display into a lightweight a
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