MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043103 A) filed by Sr University, Warangal, Telangana, on April 4, for 'a lightweight explainable multi-modal ai for early breast cancer detection.'
Inventor(s) include Dr. Mamta Punjabi Anand; Dr. Sandip Bhattacharya; Dr. Arti Patle; Dr. Ratnalatagupta; and Dr. Sudip Bhattacharya.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "A lightweight and explainable multi-modal artificial intelligence system for early breast cancer detection is disclosed. The system integrates clinical data and medical imaging modalities, including mammography, ultrasound, and MRI, using advanced data fusion techniques. It employs computationally efficient deep learning and machine learning models to enable real-time analysis in resource-constrained environments. The invention incorporates explainable AI mechanisms to provide interpretable diagnostic outputs, enhancing clinical trust and usability. It also supports robust performance in scenarios with incomplete or missing data. By combining efficiency, interpretability, and multi-modal integration, the system offers a scalable and accurate solution for early diagnosis and risk assessment of breast cancer, thereby improving clinical outcomes and supporting healthcare decision-making processes."
Disclaimer: Curated by HT Syndication.
