MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641002534 A) filed by Alok Gopal Belgaumkar; and Neha Tuljaram Gaidhankar, Vijayanagara, Karnataka, on Jan. 9, for 'a method and system for ai-based tri-modal airway difficulty prediction using mobile computing device.'
Inventor(s) include Alok Gopal Belgaumkar; and Neha Tuljaram Gaidhankar.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an airway difficulty prediction method and system using a handheld mobile computing device that employs AI and machine learning technology to predict difficult airways by analyzing multivariate data that includes facial morphological features, voice acoustic parameters, and structural information obtained from ultrasound imaging. A portable computer is outfitted with an imaging camera, a voice recorder, and an operator-friendly interface for the acquisition of standardized facial images, voice samples, and ultrasound input data. The method involves the preprocessing and early fusion of heterogeneous data into a feature vector. Using a trained machine learning algorithm, the prediction system analyzes the fused data and computes an airway difficulty prediction score along with an associated airway difficulty class or category. Inference is done locally without any network requirements, thus providing timely results while maintaining patient data confidentiality."
Disclaimer: Curated by HT Syndication.
