Machine learning models for improving the diagnosing efficiency of skeletal class I and III in German orthodontic patients

Machine learning models for improving the diagnosing efficiency of skeletal class I and III in German orthodontic patients

Abstract The precise and efficient diagnosis of an individual’s skeletal class is necessary in orthodontics to ensure correct and stable treatment planning. However, it is difficult to efficiently determine the true skeletal class due to several correlations between various anatomic structures. The...

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Main Authors: Eva Paddenberg-Schubert, Kareem Midlej, Sebastian Krohn, Agnes Schröder, Obaida Awadi, Samir Masarwa, Iqbal M. Lone, Osayd Zohud, Christian Kirschneck, Nezar Watted, Peter Proff, Fuad A. Iraqi
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Class I
Class III
Malocclusion
Artificial intelligence
Orthodontic diagnostics
Individualized treatment planning
Online Access:https://doi.org/10.1038/s41598-025-97717-6
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https://doi.org/10.1038/s41598-025-97717-6

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