MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202631060578 A) filed by Dr. Sudhir Chandra Sur Institute Of Technology & Sports Complex, Kolkata, West Bengal, on May 13, for 'adaptive ai-based diagnostic system with patient similarity modeling and explanation stability.'
Inventor(s) include Chandrima Sinha Roy; Debashis Das; and Bhaskar Chakrabarti.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a computer-implemented diagnostic system employing adaptive artificial intelligence and machine learning to provide personalized clinical insights. The system comprises a data preprocessing module, a patient similarity engine for clustering clinically related cases, and an ensemble learning module that dynamically weights predictions from multiple algorithms based on patient-specific relevance. To account for disease progression, a temporal learning module processes longitudinal data. Furthermore, the invention introduces an explanation stability controller that utilizes statistical metrics, including variance and cosine similarity, to validate the consistency of interpretable AI outputs. By integrating similarity modeling, temporal analysis, and explanation stability, the system enhances the accuracy, reliability, and clinical trustworthiness of AI-driven disease diagnosis and personalized medicine."
Disclaimer: Curated by HT Syndication.
