MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641088316 A) filed by Sr University on July 20, 2026, for Deep Learning Based Explainable System And Method For Breast-Cancer Risk Assessment And Screening Prioritization.
Inventors include Akula Spandana; and Dr. Akarapu Ramesh Babu Ap-School Of Csai Sr University..
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: We claim: 1. A deep learning-based system is developed for breast cancer risk assessment by analyzing multimodal patient data such as mammograms, clinical records, genetic information, and demographic details. 2. The system automatically identifies hidden and complex patterns in breast imaging data to support early detection of abnormal tissues. 3. Patient data is classified into different risk categories such as low, medium, and high risk for effective screening prioritization. 4. An explain ability module is integrated into the system to provide transparent and interpretable prediction results. 5. Visual explanation techniques such as heat maps and attention maps are used to highlight important regions influencing the model’s decision. 6. Risk scores generated by the model are used to rank patients and prioritize them for screening based on urgency. 7. High-risk individuals are recommended for immediate or more frequent screening to improve early diagnosis. 8. The model continuously improves its prediction capability by learning from newly added patient data.
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