MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063621 A) filed by Aditya College Of Engineering, Madanapalle, Andhra Pradesh, on May 20, for 'design and implementation of a distributed vision transformer-driven intelligent system for automated diagnosis and multi-class classification of lumbar intervertebral disc degeneration using medical imaging data.'
Inventor(s) include Dr. Nagasubba Rayudu P; Dr. D. Sreenivasulu Reddy; Dr. J. Pradeep; Dr. P. Gangadhara Reddy; and Mr. Subramanyam Burlakanti.
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: "The present invention relates to an advanced distributed artificial intelligence framework for automated diagnosis and multi-class classification of lumbar intervertebral disc degeneration using medical imaging data obtained from magnetic resonance imaging systems and related radiological platforms. The proposed invention integrates Vision Transformer-based deep learning architectures with distributed edge-cloud computing infrastructures to enable intelligent spinal disorder analysis, real-time disease grading, and scalable healthcare deployment. The system comprises medical image acquisition modules, preprocessing engines, segmentation frameworks, patch embedding mechanisms, transformer-based feature extraction units, and intelligent classification engines configured to identify multiple stages of lumbar disc degeneration with enhanced diagnostic precision. The invention further incorporates federated learning methodologies for collaborative and privacy-preserving model training across geographically distributed healthcare institutions without direct sharing of sensitive patient data. Explainable artificial intelligence mechanisms generate visual attention maps and interpretable diagnostic outputs to assist clinicians during medical evaluation and treatment planning. Additionally, blockchain-assisted healthcare security frameworks ensure secure data communication, authentication, and audit traceability within distributed healthcare ecosystems. The proposed intelligent framework significantly reduces manual diagnostic workload, improves disease detection accuracy, enhances telemedicine accessibility, and supports real-time clinical decision-making. The invention provides a scalable, secure, and technologically advanced solution for intelligent lumbar spinal healthcare analytics and automated medical imaging diagnostics."
Disclaimer: Curated by HT Syndication.
