Influence of growth structures and fixed appliances on automated cephalometric landmark recognition with a customized convolutional neural network.

ABSTRACT:

Background

One of the main uses of artificial intelligence in the field of orthodontics is automated cephalometric analysis. Aim of the present study was to evaluate whether developmental stages of a dentition, fixed orthodontic appliances or other dental appliances may affect detection of cephalometric landmarks.

Methods

For the purposes of this study a Convolutional Neural Network (CNN) for automated detection of cephalometric landmarks was developed. The model was trained on 430 cephalometric radiographs and its performance was then tested on 460 new radiographs. The accuracy of landmark detection in patients with permanent dentition was compared with that in patients with mixed dentition. Furthermore, the influence of fixed orthodontic appliances and orthodontic brackets

SUBMITTER: Popova T 

PROVIDER: S-EPMC10173502 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature