MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641106308 A) filed by Dr Rvr Nri Institute Of Technology Deemed To Be University; Mr. Sk. Mohammad Haneef; Mr. Sk. Irfan; Mr. D. Anand Babu; Mr. P. Sai Balaji; Mr. V. Raghuramaiah; and Mr. Balu Nayak on September 03, 2026, for Ovary Ai : Explainable Multi-Modal Siamese Deep Learning Framework For Early Prediction Of Polycystic Ovary Syndrome Using Ultrasound Imaging And Clinical Biomarkers.
Inventors include Mr. Sk. Mohammad Haneef; Mr. Sk. Irfan; Mr. D. Anand Babu; Mr. P. Sai Balaji; Mr. V. Raghuramaiah; and Mr. Balu Nayak.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: Abstract An explainable multimodal deep learning framework for early prediction of Polycystic Ovary Syndrome is disclosed. The framework combines ovarian ultrasound imaging and patient clinical biomarkers through a Siamese Neural Network and an adaptive attention-based fusion strategy. High-level imaging representations are integrated with structured clinical information to generate reliable diagnostic predictions. An explainability module provides both visual localization and feature-level interpretation, enabling transparent clinical decision support. The invention improves diagnostic consistency, enhances physician confidence, and supports early intervention through interpretable artificial intelligence.
Disclaimer: Curated by HT Syndication.
