MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641008793 A) filed by M Vaishnavi; Muntha Raju; K Dhivya; G Akhila; and M Bharath, Hyderabad, Telangana, on Jan. 28, for 'ai-based liver disease classification using bio-chemical test results and imaging.'
Inventor(s) include M Vaishnavi; Muntha Raju; K Dhivya; G Akhila; and M Bharath.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The invention relates to an AI based system for liver disease classification using biochemical test results and imaging data. Laboratory parameters, including liver function tests and metabolic markers, are ingested, validated, and normalized to form lab feature vectors. Imaging studies from ultrasound, CT, MRI, or elastography are preprocessed and analyzed to extract radiomics and/or deep learning based imaging features from the liver parenchyma and focal lesions. A multimodal AI model fuses lab and imaging features and outputs liver disease class and, when applicable, fibrosis or steatosis stage. An interpretability module provides feature importance rankings for biochemical inputs and saliency maps over liver images, and an optional temporal component incorporates historical data to assess progression and risk. A clinical interface presents results and explanations and exchanges data with electronic health records. By combining biochemical and imaging information in a unified AI framework, the invention improves accuracy, transparency, and clinical utility of liver disease diagnosis and staging."
Disclaimer: Curated by HT Syndication.
