MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202621011102 A) filed by Symbiosis International, Pune, Maharashtra, on Feb. 2, for 'machine learning based dental caries detection system using yolov8 object detection.'
Inventor(s) include Dr. Pradnya Borkar; Sagarkumar Badhiye; Harsh Manmode; Sanika Jumde; and Adhikar Shende.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a machine learning based dental caries detection system (100) employing YOLOv8 deep learning architecture for automated identification and classification of dental caries in radiographic images. The system comprises an image acquisition module (110) for receiving dental radiographs, a data preprocessing module (120) for image standardization including resizing and normalization, and a deep learning model module (130) implementing YOLOv8 architecture with backbone network (134), neck network (136), and detection head (138). An inference and prediction engine (140) processes images through the trained model to generate bounding box detections with confidence scores, and an output visualization module (150) presents annotated results for clinical interpretation. The system enables simultaneous detection of multiple dental condition classes including caries, cavities, cracks, and tooth boundaries through single-pass inference with real-time processing capability. Transfer learning and data augmentation techniques enhance model accuracy enabling effective training with limited datasets."
Disclaimer: Curated by HT Syndication.
