MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202631031082 A) filed by Asansol Engineering College, Asansol, West Bengal, on March 15, for 'performance comparison of classifier techniques for assessment of kidney stone conditions.'
Inventor(s) include Mr. Sujoy Kumar Basu.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention provides an AI-powered medical imaging diagnostic system that utilizes deep learning and computer vision to facilitate the early-stage detection of diseases. By integrating convolutional neural networks (CNNs) with advanced image preprocessing, the system identifies pathological abnormalities in radiology, pathology, ophthalmology, and cardiology images with high precision. The system reduces diagnostic interpretation time by approximately 35% and has demonstrated a 94.6% accuracy rate in specific tests such as lung cancer detection. It is designed for scalability across cloud, on-premise, and edge AI environments, providing clinicians with automated reports, visual heatmaps, and decision support. The invention further supports multimodal fusion and federated learning to ensure secure, comprehensive healthcare diagnostics."
Disclaimer: Curated by HT Syndication.
