Hierarchical clustering analysis & machine learning models for diagnosing skeletal classes I and II in German patients

Hierarchical clustering analysis & machine learning models for diagnosing skeletal classes I and II in German patients

Abstract Background Classification is one of the most common tasks in artificial intelligence (AI) driven fields in dentistry and orthodontics. The AI abilities can significantly improve the orthodontist’s critical mission to diagnose and treat patients precisely, promptly, and efficiently. Therefor...

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Main Authors: Eva Paddenberg-Schubert, Kareem Midlej, Sebastian Krohn, Iqbal M. Lone, Osayd Zohud, Obaida Awadi, Samir Masarwa, Christian Kirschneck, Nezar Watted, Peter Proff, Fuad A. Iraqi
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Oral Health
Subjects:
Skeletal malocclusion
Cephalometric analysis
Machine learning
Personalized orthodontics
Online Access:https://doi.org/10.1186/s12903-025-06063-6
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https://doi.org/10.1186/s12903-025-06063-6

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