MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202521122484 A) filed by Prof. Varsha Dange; Dhruv Ajesh Sharma; Radha Dinesh Bhutada; Srushti Gajanan Bhuyar; Vinit Nilesh Dhoot; and Saurabh Mahadev Ghundre, Pune, Maharashtra, on Dec. 5, 2025, for 'eye disease detection system using explainable ai.'
Inventor(s) include Prof. Varsha Dange; Dhruv Ajesh Sharma; Radha Dinesh Bhutada; Srushti Gajanan Bhuyar; Vinit Nilesh Dhoot; and Saurabh Mahadev Ghundre.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "This invention presents an Explainable AI (XAI)-based system for the detection and analysis of eye diseases using retinal and ophthalmic images. The system integrates interactive portals for doctors, patients, and researchers, facilitating a collaborative and transparent healthcare ecosystem. Leveraging advanced AI models such as CNNs and Transformers, along with explainability techniques like Grad-CAM, LIME, and SHAP, the system provides interpretable visual insights that enhance trust in automated diagnostics. Patients can upload images, interact with a Gemini API-based chatbot, and manage prescriptions through an automated OCR-driven analysis that organizes medication by days, dosage, and time. Doctors can review AI-generated reports and provide prescriptions, while researchers gain access to anonymized datasets and model performance analytics. Secure cloud storage ensures data privacy and enables research without compromising sensitive information. Overall, this system aims to improve diagnostic accuracy, patient engagement, and clinical decision-making while advancing research in ophthalmology through explainable AI."
Disclaimer: Curated by HT Syndication.
