Dental Diagnostics - a YOLOv8-Based Framework

In this paper, we present a YOLO-based (You Only Look Once) framework for object detection to analyze dental radiology images. The framework identifies anomalies such as implants, filings, impacted teeth and most commonly cavities. The framework is prototypes and tested using a dataset of 1267 dental radiographs. The framework was meticulously trained, tested, and validated to ensure compatibility and performance.