MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641043632 A) filed by Anne G. S. Sheaba, Kanniyakumari, Tamil Nadu, on April 6, for 'system and method for predicting dental implant treatment response in diabetic patients using optimized machine learning and synthetic clinical data.'
Inventor(s) include Anne G. S. Sheaba; T. K. Prabhu; and Anitha. A.
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 discloses a computer-implemented system and method for predicting dental implant treatment response in diabetic patients using optimized machine learning and synthetic clinical data generation techniques. The proposed framework integrates multiple modules including clinical data acquisition, data preprocessing, synthetic dataset generation, feature optimization, machine learning prediction, and graphical result visualization. Patientspecific parameters such as demographic details, physiological indicators, medical history, and lifestyle factors are collected and standardized through a preprocessing pipeline. To address limitations associated with limited clinical datasets, the system generates synthetic patient records based on statistical distributions derived from clinical data. A feature optimization module identifies the most influential clinical parameters affecting dental implant success using a natureinspired optimization algorithm. The optimized features are processed by a machine learning classifier to predict treatment outcomes including implant success probability, moderate risk, or potential implant failure. The prediction results are displayed through an interactive graphical user interface that provides risk scores, probability indicators, and treatment recommendations to assist dental professionals in treatment planning. The proposed system improves prediction accuracy, enhances data availability, and provides a comprehensive clinical decision support tool for dental implant procedures in diabetic patients."
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