MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122494 A) filed by Dr. Pavithra A C; and Atme College Of Engineering, Mysuru, Karnataka, on Dec. 5, 2025, for 'analysis of chest x-ray pneumonia detection with mobilenetv2 models using ml.'
Inventor(s) include Dr. Pavithra A C.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "Pneumonia remains a major global health challenge, causing millions of hospitalizations and deaths each year. Accurate and timely diagnosis is essential, yet manual interpretation of chest X-rays is often slow and prone to error. This project presents an AI-based approach using MobileNetV2, a lightweight convolutional neural network, to classify chest X-ray images as either pneumonia or normal. A labelled dataset from Kaggle was used to train and fine-tune the model on Google Colab with GPU acceleration, enabling efficient computation. MobileNetV2 was selected for its balance between accuracy and computational efficiency, making it suitable for deployment on mobile and edge devices. The final model demonstrates high performance across key metrics, including accuracy, precision, recall, and F1-score. This work highlights the potential of AI-driven diagnostic tools to support clinical decision-making, enhance diagnostic speed and reliability, and improve healthcare accessibility, particularly in resource-limited settings."
Disclaimer: Curated by HT Syndication.
