Deep Learning-Based Detection of Periodontal Infrabony and Furcation Defects on Periapical Radiographs: A Feasibility Study

This study demonstrates the feasibility of using an AI-based object detection model to classify such defects on standard periapical radiographs. By supporting clinicians in the radiographic interpretation of defect morphology, the proposed system may contribute to more consistent diagnoses, improved case selection, and enhanced predictability of surgical outcomes in periodontal therapy.