MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611061594 A) filed by Dr. Avinash Dwivedi; Dr. Rajiv Kumar; Dr. Shivani Joshi; Dr. Vipin Rai; Ms. Monika; Dr. Neha Kashyap; Dr. Sony Kumari; and Dr. Mukesh on May 14, 2026, for Method For Ai-Assisted Detection Of Lung Diseases From Chest X-Ray Images.
Inventors include Dr. Avinash Dwivedi; Dr. Rajiv Kumar; Dr. Shivani Joshi; Dr. Vipin Rai; Ms. Monika; Dr. Neha Kashyap; Dr. Sony Kumari; and Dr. Mukesh.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to an artificial intelligence-assisted method and system for detecting lung diseases from chest X-ray images. The invention utilizes image preprocessing techniques and deep learning-based classification models to automatically analyze chest radiographs and identify pulmonary abnormalities. The system receives chest X-ray images from digital imaging sources and performs operations including image normalization, contrast enhancement, noise reduction, and lung region segmentation to improve diagnostic accuracy. The processed images are analyzed using one or more trained neural network architectures configured to extract relevant image features and classify respiratory diseases. The invention is capable of detecting multiple lung conditions including pneumonia, tuberculosis, fibrosis, pleural effusion, pneumothorax, pulmonary edema, and lung opacity. The system may further generate disease probability scores, confidence values, and visualization maps highlighting suspicious regions within the radiographic image. In certain embodiments, the invention supports multi-label disease prediction and severity assessment for assisting clinical decision-making. The disclosed system improves diagnostic efficiency, reduces analysis time, and provides an effective computer- aided diagnostic solution suitable for hospitals, diagnostic centers, telemedicine platforms, and remote healthcare applications.
Disclaimer: Curated by HT Syndication.
