MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202521050603 A) filed by Government College Of Engineering; Uike, Dilip R; and Wagh, Kishor P, Amravati, Maharashtra, on May 27, 2025, for 'a system for accurate and automated cardiac disease diagnosis.'
Inventor(s) include Uike, Dilip R; and Wagh, Kishor P.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system for accurate and automated cardiac disease diagnosis. The system integrates electrocardiograms (ECG), echocardiograms, cardiac MRI/CT scans, and electronic health records through a modular architecture comprising data acquisition, preprocessing, deep learning, explainability, and deployment components. A hybrid AI model combining Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, and Transformers is employed to extract spatiotemporal and contextual features from the diverse data. The system performs disease classification, risk stratification, and anomaly detection for cardiac conditions such as arrhythmia, heart failure, and myocardial infarction. An explainable AI module enhances clinical trust via attention maps and feature attributions. The system supports real-time diagnosis, telemedicine integration, and federated learning for secure updates across hospitals and wearable devices, ensuring privacy-preserving and scalable deployment. This invention enables proactive cardiac care and improves diagnostic accuracy in both clinical and remote healthcare environments."
Disclaimer: Curated by HT Syndication.
