MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641070237 A) filed by Sri Padmavathi Mahila Visvavidyalayam on June 04, 2026, for Ai-Driven Clinical Decision Support System For Predicting Non-Communicable Diseases (ncds) In Remote And Underserved Populations.
Inventors include Ms. Sravanthi V; Dr. T. Sobha Rani; Dr. S. B. Sravana Sandhya; and Dr. V Deepti.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT OF THE INVENTION: The invention pertains to an AI-Driven Clinical Decision Support System (AI-CDSS) designed specifically for the early prediction of Non-Communicable Diseases (NCDs) such as diabetes, cardiovascular diseases, and hypertension in remote and underserved populations. The system addresses critical gaps in healthcare accessibility by utilizing limited, readily available data from wearables, basic clinical measurements, lifestyle factors, and environmental indicators. A novel hybrid architecture combines ensemble learning models with deep learning components and federated learning to ensure privacy- preserving, scalable training across distributed devices. Edge computing capabilities allow real-time predictions on low-power hardware without constant internet connectivity, making it ideal for rural and low-infrastructure settings. Explainable AI techniques provide transparent risk assessments and recommendations, empowering community health workers with actionable insights. Key innovations include context-adaptive fine-tuning for demographic diversity, integration of satellite environmental data for holistic risk profiling, and bias-mitigated models for equitable performance across populations. The system generates personalized NCD risk scores, disease-specific probabilities, and tailored intervention plans, potentially reducing late-stage diagnoses. Validation through case studies demonstrates superior performance compared to conventional tools, with enhanced accuracy, interpretability, and usability in resource-limited environments. This invention promotes preventive healthcare, lowers costs, and bridges the urban-rural health divide by democratizing advanced clinical decision support.
Disclaimer: Curated by HT Syndication.
