MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611024521 A) filed by Swami Vivekanand Subharti University, Meerut, Uttar Pradesh, on March 2, for 'method and apparatus for dermatological image classification and risk assessment using mobile ai.'
Inventor(s) include Dr. Ashima.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The invention relates to a smartphone-based diagnostic system for early detection of skin cancer using deep learning and personalized risk profiling. The system captures images of skin lesions through a guided mobile interface and preprocesses them using normalization, segmentation, and color-correction techniques. A convolutional neural network trained on dermatological datasets generates malignancy probabilities, which are further refined by a user-specific risk-profiling engine incorporating factors such as age, skin type, UV exposure, and family history. The system provides real-time diagnostic outputs, risk scores, and visual explanations using saliency maps. Data privacy is ensured through encryption and optional federated learning to enable decentralized model improvement. The invention offers an accessible, low-cost, and non-invasive solution designed for remote and underserved populations, supporting early detection, clinical decision-making, and integration with telemedicine and public health screening programs."
Disclaimer: Curated by HT Syndication.
