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...

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	International Dental Journal
المؤلفون الرئيسيون:	Michael Myers, Michael D. Brown, Sarkhan Badirli, George J. Eckert, Diane Helen-Marie Johnson, Hakan Turkkahraman
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Elsevier 2025-02-01
الموضوعات:	Artificial intelligence Machine learning Cephalometric analysis Craniofacial complex Growth and development Orthodontics
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S0020653924016411