MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641109088 A) filed by Santhosh Krishna B V on September 11, 2026, for Confidence-Aware Explainable Visual Intelligence Framework For Personalized Clinical Risk Stratification.
Inventors include Dr. Suma Srinath; Sagarika Patel; Bindu M; Sony M Kuriakose; Sangeetha G; M. D. Raj Kamal; and Dr. T. C. Manjunath.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: Framework for Personalized Clinical Risk Stratification. The framework integrates heterogeneous patient information including electronic health records, physiological measurements, laboratory results, medical imaging information, medication history, clinical observations, wearable sensor information, and patient-reported information to generate a personalized clinical representation. A Personalized Clinical Intelligence Engine generates individualized clinical intelligence, while a Clinical Risk Prediction Engine generates patient-specific clinical risk predictions. A Confidence Estimation and Calibration Engine determines confidence associated with the predicted risks, and an Explainable Visual Intelligence Generator associates the predicted risks and confidence values with contributing clinical factors and generates visually interpretable risk representations. A Personalized Clinical Decision Support Interface presents risk predictions, confidence information, contributing factors, and temporal clinical trends to authorized healthcare personnel, while a Continuous Clinical Learning Module refines the prediction and confidence models using subsequent clinical outcomes and authorized feedback. The framework enables confidence-aware, explainable, personalized, and visually interpretable clinical risk stratification for supporting proactive and evidence-based healthcare decision making.
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