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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Principais autores:	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
格式:	Artigo
語言:	Inglês
出版:	Nature Portfolio 2025-04-01
叢編:	Scientific Reports
主題:	Class I Class III Malocclusion Artificial intelligence Orthodontic diagnostics Individualized treatment planning
在線閱讀:	https://doi.org/10.1038/s41598-025-97717-6
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