Deep learning-based prediction of osseointegration for dental implant using plain radiography.

ABSTRACT: In this study, we investigated whether deep learning-based prediction of osseointegration of dental implants using plain radiography is possible. Panoramic and periapical radiographs of 580 patients (1,206 dental implants) were used to train and test a deep learning model. Group 1 (338 patients, 591 dental implants) included implants that were radiographed immediately after implant placement, that is, when osseointegration had not yet occurred. Group 2 (242 patients, 615 dental implants) included implants radiographed after confirming successful osseointegration. A dataset was extracted using random sampling and was composed of training, validation, and test sets. For osseointegration prediction, we employed seven different deep learning models. Each deep-learning model was built by perfor

SUBMITTER: Oh S 

PROVIDER: S-EPMC10082489 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature