Automated Classification of Alveolar Bone Defects for Preoperative Augmentation Planning Using Deep Learning

The proposed automated system provides clinicians with a quick and objective second opinion in preoperative planning. By accurately classifying bone defects, it can assist dentists, particularly those with limited experience, in deciding between standard implant placement and augmentation procedures, thereby potentially reducing surgical complications and planning time.