Introduction This scoping review aims to provide an overview of the existing evidence on the
use of artificial intelligence (AI) and machine learning (ML) in orthodontics, its translation into …

Background/objective Early diagnosis and the interception of potential impaction is the most
desirable approach for management of impacted canines. Several radiographic predictors …

This study evaluates the accuracy and efficiency of automatic tooth segmentation in digital
dental models using deep learning. We developed a dynamic graph convolutional neural …

Over the past two decades, artificial intelligence (AI) and machine learning (ML) have
undergone considerable development. ere have been various applications in medicine …

Maxillary canine impaction is a condition that commonly occurs in growing individuals with
malocclusion, and identifying its type is always challenging for dentists when determining …

Abstract Background/Objectives It is unclear whether palatal canine impaction is related to
genetic or local/environmental factors. If a genetic origin is assumed, then it could be …

Osteoporosis leads to the loss of cortical thickness, a decrease in bone mineral density
(BMD), deterioration in the size of trabeculae, and an increased risk of fractures. Changes in …

Background The evaluation of the facial profile of skeletal Class II patients with camouflage
treatment is of great importance for patients and orthodontists. The aim of this study is to …

This case report presents an orthodontic treatment conducted on a 13-year-old girl with
bilateral Class II malocclusion and a mandibular impacted canine. The presence of an …

Objective: This study aimed to identify radiographic parameters on routine
orthopantomograms to aid in early diagnosis of palatally impacted canines. Design: Split …