Lateral cephalometric parameters among Arab skeletal classes II and III patients and applying machine learning models
There is a significant relationship between many cephalometric parameters within the different groups of gender and age. This study highlights the high accuracy and power of Wits appraisal and the SNB angle in evaluating the classification of orthodontic malocclusion.
Authors
- Osayd Zohud (ORCID: https://orcid.org/0000-0003-3530-1420)
- Iqbal M. Lone (ORCID: https://orcid.org/0000-0001-5292-6778)
- Sebastian Krohn (ORCID: https://orcid.org/0000-0002-2256-2085)
- Obaida Awadi
- Érika Calvano Küchler (ORCID: https://orcid.org/0000-0001-5351-2526)
- Fuad A. Iraqi (ORCID: https://orcid.org/0000-0001-5525-206X)
- Peter Proff (ORCID: https://orcid.org/0000-0003-1137-5361)
- Eva Paddenberg (ORCID: https://orcid.org/0000-0001-8207-5257)
- Nezar Watted (ORCID: https://orcid.org/0009-0003-3924-0327)
- Samir Masarwa
- Kareem Midlej (ORCID: https://orcid.org/0000-0003-0144-575X)
Institutions
- University of Bonn (DE)
- Tel Aviv University (IL)
- Prosperity Now (US)
- Arab American University (PS)
- University of Regensburg (DE)
Publication Details
- Journal
- Clinical Oral Investigations
- Published
- 2024-09-02
- DOI
- https://doi.org/10.1007/s00784-024-05900-2
- Citations
- 12
- Primary Topic
- Orthodontics and Dentofacial Orthopedics
- Type
- article
- Field-Weighted Citation Impact
- 4.83
Funders
- Universität Regensburg