MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061374 A) filed by Dr. C. Raja; Dr. R Murugan; Dr. Radha Annamalai; Penubothu Vishnusai; and Sharmila JK, Thiruvallur, Tamil Nadu, on May 14, for 'generative ai-based system for visual field synthesis and glaucoma progression monitoring.'

Inventor(s) include Dr. C. Raja; Dr. R Murugan; Dr. Radha Annamalai; Penubothu Vishnusai; and Sharmila JK.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "Generative AI-Based System and Method for Visual Field Synthesis and Glaucoma Progression Monitoring Abstract The present invention related to a generative AI based synthesis of Visual Fields (VFs) from fundus images and other secondary clinical parameters. Unlike other CNN based methods that evaluate the VF values trained from fundus images, we deploy the SOTA generative AI architecture called Conditional Diffusion Probabilistic Models (CDPMs) for the synthesis. As the secondary parameters include qualitative tabular parameters like age, gender and quantitative tabular parameters like IoP, Central Corneal Thickness (CCT), we go for multimodal deep learning architecture. The CDPM is conditioned such that each VF point is trained in synchrony to the anatomical zone in the fundus to which it maps with the Garway-Heath mapping. This enhances clinical interpretability and prediction accuracy. A contrastive and reliability-weighted loss optimization framework with hyperparameters optimized with the Particle Swarm Optimization (PSO) is utilized for enhancing synthesis fidelity. With all these enhancements the Mean Absolute Error (MAE) is reduced to 3 db compared to the ResNet based VF synthesis systems. The invention enables automated, scalable, and clinically interpretable glaucoma assessment while reducing dependence on conventional visual field testing procedures, thereby improving accessibility for teleophthalmology and longitudinal ophthalmic monitoring applications."

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