MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202521086019 A) filed by Pandit Deendayal Energy University on September 10, 2025, for Ai-Driven Multimodal Wound Healing Prediction And Infection Risk Management System.
Inventors include Aarchi Shah; Vishwam Modi; and Yogesh Kumar.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses an AI-driven system and method for wound assessment. The system integrates multimodal data, including multi-spectrum imaging (visual, 3D, thermal), real-time biochemical data from a wearable sensor array (e.g., pH, temperature, uric acid), and longitudinal clinical data from electronic health records. A novel Al core engine, preferably using a multimodal fusion transformer, processes these disparate data streams to learn complex cross-modal correlations. The engine generates a predicted healing trajectory and, critically, a dynamic infection risk score. This score is a probability that updates continuously in response to new sensor data, enabling proactive monitoring and early detection of infection risk before clinical manifestation. An explainable Al module provides human-interpretable justifications for the risk score, and an alert system notifies clinicians of high-risk changes, facilitating timely and targeted intervention. Figure-1
Disclaimer: Curated by HT Syndication.
