MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541126538 A) filed by Dayananda Sagar University, Bengaluru, Karnataka, on Dec. 14, 2025, for 'portable diagnostic kit for offline imaging and early detection of lung and chest diseases in remote and low-resource regions.'
Inventor(s) include M. Lakshmanan; Sriramkumar R; Jayavrinda V. Vadakkeparambil; Joshuva Arockia Dhanraj; Vinutha N; A. Vegi Fernando; Arunkumar Gopu; Pradeep Kumar K; Mude Nagarjuna Naik; and Mithaguru.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The technology discloses a portable, AI-enabled diagnostic kit for real-time, offline detection of lung and chest diseases such as tuberculosis, pneumonia, COPD, and lung cancer, specifically designed for rural, tribal, and remote regions lacking imaging infrastructure and specialist support. The kit integrates a digital chest-imaging sensor, a microcontroller-based acquisition interface, an embedded edge-AI processor, and a mobile visualization module within a rugged, battery-solar-powered enclosure. Chest images are pre-processed, segmented, and classified using a hybrid Convolutional Neural Network and Vision Transformer model, generating diagnoses in under two seconds with high accuracy. Grad-CAM heatmaps provide interpretable visual evidence for non-specialist healthcare workers. All data are encrypted and stored locally with optional cloud or blockchain synchronization. Experimental validation demonstrates accuracy of 91.2%, specificity of 93.1%, and reliable operation under field conditions. The disclosure enables accessible, low-cost, and explainable pulmonary screening in underserved healthcare environments."
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