MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641125830 A) filed by Kasa Sudheer; Dr K. R. Sekhar; Dr. C Pakkiraiah; Dr. Athipalli Divya; Dr K. Siva Kumar; Dr Syed Fazuruddin; Dr. K Thirumalesu; Ms. P. Leela; Dr B Venkateswarlu; and Dr V Raveendra Reddy on October 22, 2026, for A Quantum Explainable Artificial Intelligence System For Personalized Disease Prediction And Clinical Decision Support.
Inventors include Kasa Sudheer; Dr K. R. Sekhar; Dr. C Pakkiraiah; Dr. Athipalli Divya; Dr K. Siva Kumar; Dr Syed Fazuruddin; Dr. K Thirumalesu; Ms. P. Leela; Dr B Venkateswarlu; and Dr V Raveendra Reddy.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: The proposed invention presents an integrated Quantum Explainable Artificial Intelligence System for personalized disease prediction and clinical decision support. The system combines quantum feature encoding, Hybrid Quantum Neural Networks, Explainable Artificial Intelligence techniques, multimodal medical data analytics, IoT- enabled healthcare monitoring, and secure cloud communication to improve diagnostic accuracy while ensuring transparent and interpretable predictions. Medical images, physiological signals, genomic information, laboratory biomarkers, wearable sensor data, and electronic health records are processed through quantum- enhanced computation to generate personalized disease risk assessments, confidence scores, visual explanations, and treatment recommendations. The invention continuously monitors patient health through wearable devices and delivers real-time diagnostic insights via clinician dashboards and patient mobile applications. By integrating quantum computing, explainable artificial in
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