MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641018317 A) filed by Malla Reddy Engineering College For Women; and Malla Reddy University, Hyderabad, Telangana, on Feb. 18, for 'system and method for explainable ai-based fraud detection in insurance claims.'
Inventor(s) include Y. Madhaveelatha; Geetha Reddy Yenna; Venkata Kunapareddy Naganjaneyulu; Vishnu Kumar Mishra; Angadi Swaruparani; K. V. Siva Prasad Reddy; K. Vidhyapriyadharshini; and Narasimhulu K.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The invention discloses an artificial intelligence-based fraud detection system for insurance claims. It employs machine learning models to analyze structured and unstructured claim data, identifying anomalies and inconsistencies indicative of fraud. A key feature of the system is its integration of explainable AI modules, which generate feature-importance scores and visual interpretations to justify fraud predictions. This transparency enhances trust among investigators and regulatory bodies.The system architecture comprises data ingestion, preprocessing, machine learning inference, explainability, and reporting modules. Users interact with the system through a web-based application, uploading claim datasets in CSV format and receiving real-time fraud predictions. Results are displayed via an interactive interface and incorporated into dynamically generated PDF reports for audit and compliance.Scalability and adaptability are emphasized, allowing the system to process large volumes of claims and evolve with emerging fraud schemes. By reducing manual workload, minimizing false positives, and enhancing transparency, the invention strengthens fraud prevention strategies and contributes to a secure insurance ecosystem."
Disclaimer: Curated by HT Syndication.
