Prediction of adequate alveolar ridge contours for dental implant placement using an artificial intelligence-based algorithm

Background/purpose

Accurate prediction of ridge contour following ridge augmentation is an integral part of planning dental implant therapy. This study aimed to develop an artificial intelligence (AI)-based algorithm to predict adequate alveolar ridge contours for accommodating implants based on preoperative cone-beam computed tomography (CBCT) images using a deep learning (DL) approach.

Materials and methods