MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202611052049 A) filed by Sachin Chandrakant Patil; and Vasanth Rajendran on April 23, 2026, for A System And Method For Ai-Driven Multi-Modal Detection And Classification Of Respiratory Disorders Using Adaptive Diagnostic Modeling.
Inventors include Sachin Chandrakant Patil; and Vasanth Rajendran.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to a system and method for deep learning-based automated interpretation of echocardiographic data for early detection of cardiac dysfunction. The invention integrates a data acquisition module, preprocessing unit, deep learning inference engine, feature extraction module, and diagnostic decision support system to analyze cardiac imaging data in real time. Advanced neural network architectures are employed to extract spatial and temporal features, enabling accurate identification of structural and functional abnormalities. The system further provides interpretable outputs through visualization techniques such as heatmaps and attention maps, enhancing clinical trust and usability. By reducing diagnostic variability and enabling early-stage detection of cardiac conditions, the invention improves decision-making efficiency and patient outcomes while supporting scalable deployment across cloud and edge-based healthcare environments. Accompanied Drawing [FIGS. 1-2]
Disclaimer: Curated by HT Syndication.
