Deep learning for the identification of ridge deficiency around dental implants
Journal
Clinical implant dentistry and related research
Date Issued
2023-12-27
Author(s)
Abstract
This study aimed to use a deep learning (DL) approach for the automatic identification of the ridge deficiency around dental implants based on an image slice from cone-beam computerized tomography (CBCT).
Subjects
alveolar process; alveolar ridge augmentation; artificial intelligence; dental implants; sinus floor augmentation
SDGs
Type
journal article