MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048367 A) filed by Parkavi; Abishek K; Givson Ithiel M; Jency J; Kesav Rathnam S; Cheran L; Deepak G; Harsha R; Nithish P; and Raja S, Coimbatore, Tamil Nadu, on April 16, for 'gen ai based radiology kidney report generator.'
Inventor(s) include Parkavi; Abishek K; Givson Ithiel M; Jency J; Kesav Rathnam S; Cheran L; Deepak G; Harsha R; Nithish P; and Raja S.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a generative artificial intelligence (Gen AI)-based radiology kidney report generator designed to automate the analysis of renal imaging data and the generation of structured diagnostic reports. The system integrates advanced deep learning, computer vision, and natural language processing techniques to provide an efficient and reliable solution for radiological reporting. The proposed system comprises a data acquisition module that accepts kidney imaging data from modalities such as ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI). The input data undergoes pre-processing, including normalization, noise reduction, and DICOM de-identification to ensure data privacy and standardization. An image enhancement module utilizing generative adversarial networks (GANs) improves image quality for accurate analysis. A deep learning-based analysis module, employing convolutional neural networks (CNNs), detects and classifies kidney-related abnormalities such as stones, cysts, tumors, and structural anomalies. The system further incorporates explainable artificial intelligence (XAI) techniques to generate visual heatmaps and diagnostic metrics, enhancing interpretability and trust. The analytical results are converted into structured textual reports using natural language processing, ensuring consistency and clarity in medical documentation. The system supports a semi-automated workflow where radiologists can review, edit, and validate generated reports before finalization. Additionally, the system includes secure data storage and management capabilities for maintaining patient records and analytics. Overall, the invention improves diagnostic efficiency, reduces reporting time, and enhances the accuracy and standardization of radiology reports."
Disclaimer: Curated by HT Syndication.
