MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115171 A) filed by Rachna Narula; Srishti Vashishtha; and Vijay Kumar, New Delhi, on Nov. 21, 2025, for 'an intelligent deep learning framework for advanced digital medical image analysis.'
Inventor(s) include Rachna Narula; Srishti Vashishtha; and Vijay Kumar.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The invention discloses an advanced system and method that integrates deep learning techniques with digital image processing to enhance the accuracy and efficiency of medical image analysis. The system incorporates modules for image acquisition, preprocessing, deep learning inference, post-processing, explainability, and clinical integration. Preprocessing operations standardize image quality through noise reduction, normalization, and artifact correction. A deep learning engine utilizing convolutional neural networks, transformer architectures, and hybrid models performs automated detection, segmentation, and classification of abnormalities across diverse imaging modalities, including CT, MRI, X-ray, PET, ultrasound, and digital pathology. Post-processing refines outputs into clinically meaningful forms such as annotated images, masks, heatmaps, and confidence maps. An explainable AI module generates visual reasoning cues for improved transparency. The system integrates seamlessly with PACS, HIS, and EHR platforms and supports real-time deployment on cloud or edge devices. Overall, the invention enhances diagnostic accuracy, reduces workload, and improves clinical decision-making."
Disclaimer: Curated by HT Syndication.
