MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202641007061 A) filed by Yenumula Srividya; Jason Jebasingh G V; Vignesh M; Kayalvizhi K R; Lavanya. T; Dr. K. Silpaja Chandrasekar; Dr. Shabana Palyam; D. Stalin David; Sunil A; and Arivumalar Ravichandran, Narsapur, Telangana, on Jan. 23, for 'ai-driven diagnostic framework for early detection of neurological disorders using multispectral brain imaging.'
Inventor(s) include Yenumula Srividya; Jason Jebasingh G V; Vignesh M; Kayalvizhi K R; Lavanya. T; Dr. K. Silpaja Chandrasekar; Dr. Shabana Palyam; D. Stalin David; Sunil A; and Arivumalar Ravichandran.
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: "The present invention relates to an AI-driven diagnostic framework for early detection and assessment of neurological disorders using multispectral brain imaging, including MRI, fMRI, and PET. The system integrates advanced artificial intelligence algorithms to automatically analyze structural, functional, and metabolic brain data, detecting subtle pathological changes, abnormal neural activity, and early biomarkers associated with neurodegenerative and neurodevelopmental disorders. The framework performs automated preprocessing, feature extraction, risk scoring, and longitudinal analysis to monitor disease progression and predict clinical outcomes. Predictive models differentiate normal age-related variations from early pathological deviations, enabling personalized treatment planning and proactive intervention. Visualization tools provide clinicians with heatmaps, functional connectivity maps, and comprehensive reports, supporting accurate and reproducible diagnosis. The modular, scalable, and accessible system enhances early detection, reduces diagnostic variability, supports longitudinal patient monitoring, and facilitates integration into hospital and research workflows, advancing precision neurology and improving patient outcomes."
Disclaimer: Curated by HT Syndication.
