MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641077202 A) filed by T Thulasi; and Dr I Manimozhi on June 22, 2026, for A Deep Learning-Based Adaptive Neurovascular Risk Fusion Framework For Early Stroke Risk Assessment.
Inventors include T Thulasi; and Dr I Manimozhi.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses a deep learning-based Adaptive Neurovascular Risk Fusion Framework for Early Stroke Risk Assessment. The framework integrates neuroimaging data, vascular biomarkers, physiological signals, genetic information, and clinical records through multiple deep learning networks. A novel Adaptive Neurovascular Risk Fusion Algorithm (ANRFA) computes confidence-driven modality weights and performs dynamic multimodal fusion to generate an accurate Stroke Risk Index. The framework further incorporates explainable artificial intelligence mechanisms to identify major contributing risk factors and provide personalized preventive recommendations. The invention enables early detection of stroke susceptibility, improves clinical decision-making, and supports real-time deployment in healthcare institutions, wearable systems, and telemedicine environments.
Disclaimer: Curated by HT Syndication.
