MUMBAI, India, June 24 -- Intellectual Property India has published a patent application (202421097480 A) filed by Dr. J. J. Magdum College Of Engineering; Dr. Deepali A. Nikam; Prof. Supriya Satish Chougule; Prof. Snehal V. Zargad; Mrs. S. A. Surywanshi; Mr. Aditya N. Magdum; and Mr. Vinayak S. Sutar on December 10, 2024, for Portable Ai-Driven Diagnostic System For Early Brain Tumor Detection In Public Health Camps.
Inventors include Dr. Deepali A. Nikam; Prof. Supriya Satish Chougule; Prof. Snehal V. Zargad; Mrs. S. A. Surywanshi; Mr. Aditya N. Magdum; and Mr. Vinayak S. Sutar.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Portable AI-Driven Diagnostic System for Early Brain Tumor Detection in Public Health Camps This invention describes a community-based diagnostic system for early detection of brain tumors, integrating advanced machine learning algorithms with portable imaging technologies. The system utilizes convolutional neural networks (CNNs) to analyze MRI scans, employing preprocessing techniques such as normalization, noise reduction, and contrast enhancement to optimize image quality. Designed for deployment in public health screening camps, the system offers cost-effective, scalable diagnostics in underserved and resource-limited regions. A secure cloud-based framework enables real-time remote data processing and specialist collaboration, while an intuitive user interface ensures accessibility for non- specialized health workers. The system facilitates precise tumor classification, distinguishing malignant, benign, and non-tumorous conditions, and supports timely referrals for medical intervention. By addressing critical gaps in healthcare access and reducing diagnostic errors, this invention represents a transformative solution for preventive healthcare, significantly improving early diagnosis and treatment outcomes in economically disadvantaged communities.
Disclaimer: Curated by HT Syndication.
