MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641069337 A) filed by Nitte Deemed To Be University; Dr. Preethi Salian K; Shashi Kumar Shetty; Adithi Pai S; Anusha Sharma; Hemani Sunil Rao; and Hitesh on June 03, 2026, for Intelligent System For Personalised Computed Topography Contrast Bolus Time Prediction.
Inventors include Dr. Preethi Salian K; Shashi Kumar Shetty; Adithi Pai S; Anusha Sharma; Hemani Sunil Rao; and Hitesh.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT Disclosed herein is a personalized intelligent computed topography contrast bolus time prediction system (100), the system (100) comprises a user interface (102) integrated into a user device (104), a communication network (106), a data storage unit (108), and a processing unit (110) that generates an optimal contrast bolus arrival time, includes a data input module (112) for receiving patient-specific parameters, a data preprocessing module (114) for cleaning data through parsing, median imputation and record filtering, a feature engineering module (116) for deriving domain-specific clinical features, a stratification module (118) for automatically classifying patients into hemodynamic phenotype clusters, a feature selection module (120) for applying recursive feature elimination, an optimization module (122) for training and hyperparameter tuning of a cluster specific machine learning model, a prediction module (124) for generating the bolus arrival time and an output module (126) for transmitting the predicted timing to the user interface.
Disclaimer: Curated by HT Syndication.
