MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202541116614 A) filed by Saveetha Engineering College, Thandalam, Tamil Nadu, on Nov. 25, 2025, for 'an integrated ai framework for dermatological image analysis and knowledge retrieval using rag-augmented language models.'

Inventor(s) include Dr. Umarani V; and Dr. Kaladevi R.

The application for the patent was published on Jan. 23, under issue no. 04/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to an integrated artificial intelligence (Al) framework for automated dermatological image analysis and knowledge retrieval, designed to assist in early detection, diagnosis, and education regarding skin diseases. The system employs a hybrid architecture that combines a Generative Adversarial Network (GAN) with Deep Learning techniques to process and classify dermatological images. The GAN component enhances image quality through residual blocks, self-attention mechanisms, and spectral normalization, thereby improving the detection of subtle and complex skin features. The classified outputs are further processed by a Retrieval- Augmented Generation (RAG) module integrated with Large Language Models (LLMs), which retrieve context-specific, evidence-based medical information from diverse healthcare databases and generate patient-friendly responses.The invention provides explainable Al outputs, including heatmap visualizations and confidence scores, to ensure transparency and support clinical decisionmaking. A cloud-based architecture enables secure storage, analysis, and remote accessibility, facilitating real-time assistance for healthcare professionals and patients. The framework supports multi-modal interaction by combining image-based assessment with natural language understanding to deliver diagnosis support, treatment suggestions, and educational content. This invention offers a scalable and interpretable dermatological diagnostic solution, particularly valuable in areas with limited access to dermatology specialists."

Disclaimer: Curated by HT Syndication.