This review aims to analyze different strategies that make use of artificial intelligence to
enhance diagnosis, treatment planning, and monitoring in orthodontics. Orthodontics has …

With increasing digitalization in orthodontics, certain orthodontic manufacturing processes
such as the fabrication of indirect bonding trays, aligner production, or wire bending can be …

Background/Objectives: To systematically review and summarize the existing scientific
evidence on the diagnostic performance of artificial intelligence (AI) in assessing cervical …

Objectives To provide an overview of artificial intelligence (AI) applications in orthodontic
diagnosis and treatment planning, and to evaluate whether AI improves accuracy, reliability …

The goal of this study was to create a novel machine learning (ML) model that can predict
the magnitude and direction of pubertal mandibular growth in males with Class II …

In the field of orthodontics, providing patients with accurate treatment time estimates is of
utmost importance. As orthodontic practices continue to evolve and embrace new …

We sought the perspectives of fourteen orthodontics educators on emerging trends and
themes in the orthodontics educational landscape. The focus of this article was on four …

Abstract The Cervical Vertebral Maturation (CVM) assessment plays a pivotal role in
orthodontic diagnosis and treatment planning by providing insights into skeletal growth and …

Backgrounds and objectives The present study was designed to define a novel algorithm
capable of predicting female adolescents' cervical vertebrae maturation stage with high …

Background. The accurate timing of growth modification treatments is crucial for optimal
results in orthodontics. However, traditional methods for assessing growth status, such as …