Long-Term Predictive Modelling of the Craniofacial Complex Using Machine Learning on 2D Cephalometric Radiographs

Long-Term Predictive Modelling of the Craniofacial Complex Using Machine Learning on 2D Cephalometric Radiographs

Objective: This study aimed to predict long-term growth-related changes in skeletal and dental relationships within the craniofacial complex using machine learning (ML) models. Materials and Methods: Cephalometric radiographs from 301 subjects, taken at pre-pubertal (T1, age 11) and post-pubertal st...

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Bibliographic Details
Main Authors: Michael Myers, Michael D. Brown, Sarkhan Badirli, George J. Eckert, Diane Helen-Marie Johnson, Hakan Turkkahraman
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:International Dental Journal
Subjects:
Artificial intelligence
Machine learning
Cephalometric analysis
Craniofacial complex
Growth and development
Orthodontics
Online Access:http://www.sciencedirect.com/science/article/pii/S0020653924016411
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