MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641051936 A) filed by Sr University, Warangal, Telangana, on April 23, for 'scalable cross-modal hybrid intelligence framework for secure, explainable, and adaptive neuroimaging analysis in multi-agent clinical decision systems.'
Inventor(s) include Dr. Mohammed Ali Shaik.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The current invention reveals a scalable hybrid cross-modal and intelligent framework to secure, explainable and adaptive analysis of neuroimaging data in a multi-agent clinical decision-making environment. The system overcomes the drawbacks of black-box AI by adding a neuro-symbolic reasoning layer that balances the deep learning feature extraction with formal clinical logic and offers clear and traceable diagnostic information. A decentralized network based on secure multi-party computation can guarantee the privacy of patient data and the ability to collaboratively learn at the distributed medical nodes. The framework has a cross-modal synthesis engine that combines structural, functional, and metabolic data that is used to find complex biomarkers. Moreover, an adaptive feedback unit involves a clinician experience to improve accuracy of the system in the long run. The invention is highly scalable and hardware efficient, offering a high-performance and low-latency real-time clinical decision support solution that can greatly improve the accuracy and consistency of neurological diagnostic results, and fully meet data protection requirements."
Disclaimer: Curated by HT Syndication.
