MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641072754 A) filed by Vellore Institute Of Technology on June 11, 2026, for Quantum-Inspired Hybrid Deep Learning Architecture For Automated Pneumonia Detection From Chest Radiographic Images.
Inventors include Keerthika P; Suresh P; and Nandini Chaurasia.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: The present invention discloses a quantum-inspired hybrid deep learning architecture for automated pneumonia detection from chest radiographic images. The architecture integrates residual convolutional feature extraction with quantum-inspired spiking neural computation to achieve parameter-efficient and computationally optimized pulmonary disease diagnosis. Chest radiographs are subjected to localized contrast enhancement, geometric normalization, and dimensionality reduction prior to bounded feature encoding into a quantum-inspired computational arrangement. Sequential rotational encoding, temporal integration, and entanglement-based feature interaction generate correlated diagnostic representations that are mapped into probabilistic pneumonia predictions. The architecture significantly reduces computational overhead, trainable parameter dependency, and inference latency while improving diagnostic sensitivity, probabilistic calibration, and pathological separability. The invention is applicable in computer-aided radiology, emergency pulmonary screening, telemedicine, and edge-based healthcare diagnostic environments.
Disclaimer: Curated by HT Syndication.
