MUMBAI, India, June 24 -- Intellectual Property India has published a patent application (202421097477 A) filed by Dr. J. J. Magdum College Of Engineering; Prof. Kiran Ankush Doiphode; Prof. Supriya Satish Chougule; Prof Prashant Paygonda Patil; Mr. Aditya N. Magdum; Mr. Vinayak S. Sutar; and Dr. Jagdish Subhash Lambe on December 10, 2024, for Portable Ai-Based Skin Disease Detection System For Paediatric Health Screening.
Inventors include Prof. Kiran Ankush Doiphode; Prof. Supriya Satish Chougule; Prof Prashant Paygonda Patil; Mr. Aditya N. Magdum; Mr. Vinayak S. Sutar; and Dr. Jagdish Subhash Lambe.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Portable AI-Based Skin Disease Detection System for Pediatric Health Screening This invention describes a portable system for the early detection of pediatric skin diseases, addressing the healthcare needs of underserved and resource-limited communities. Utilizing advanced artificial intelligence, specifically convolutional neural networks (CNNs), and image processing techniques, the system enables accurate and real-time classification of conditions such as scabies and fungal infections. Its components include a high-resolution imaging module, preprocessing unit for optimizing image quality, AI-based diagnostic core, and a user-friendly interface for displaying results and actionable recommendations. Designed for non-specialist operators, the system is compact, easy to use, and operable in diverse environments. Secure data transmission ensures seamless integration with telemedicine platforms, enabling remote consultations with dermatologists. By facilitating early diagnosis and intervention, the invention minimizes disease outbreaks, reduces dependency on specialist care, and promotes health awareness. The system is scalable, cost- effective, and engineered to bridge critical gaps in pediatric dermatological healthcare delivery.
Disclaimer: Curated by HT Syndication.
