MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043324 A) filed by Dr. D. Saravanan; Mr. Sakrap Swaran; Mr. Sankepalli Venkatashiva Reddy; Dr. Arul Prakash A; and Dr. Vijay Ramalingam, Chennai, Tamil Nadu, on April 4, for 'explainable ai for gastrointestinal disease detection using ensemble deep learning techniques.'
Inventor(s) include Dr. D. Saravanan; Mr. Sakrap Swaran; Mr. Sankepalli Venkatashiva Reddy; Dr. Arul Prakash A; and Dr. Vijay Ramalingam.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an automated system for gastrointestinal disease detection using Wireless Capsule Endoscopy images, integrating ensemble deep learning and Explainable Artificial Intelligence techniques. The system utilizes multiple convolutional neural network models such as ResNet50, VGG16, MobileNetV2, and InceptionV3 to analyze and classify gastrointestinal abnormalities with high accuracy. A soft voting ensemble mechanism enhances performance by combining model outputs, while preprocessing modules improve image quality for reliable analysis. The integration of explainable AI methods provides visual interpretations of predictions, increasing transparency and clinical trust. The system supports real-time processing, reducing diagnostic time and enabling timely medical intervention. It also facilitates remote monitoring through integration with healthcare systems and telemedicine platforms. With features such as scalability, continuous learning, and secure data management, the invention offers a robust and efficient solution for improving gastrointestinal disease diagnosis and patient outcomes."
Disclaimer: Curated by HT Syndication.
