Machine learning-assisted three-dimensional mapping of the facial soft tissues in Saudi Arabian adults with skeletal class I relationship
This study demonstrates that combining 3D facial imaging with machine learning effectively captures sexual dimorphism in a Saudi Arabian adult population. The findings provide clinically relevant reference data for personalized orthodontic assessment and treatment planning and support forensic applications.
Authors
- Yahya Bokhari (ORCID: https://orcid.org/0000-0002-2352-1701)
- Nora Alhazmi (ORCID: https://orcid.org/0000-0002-3873-4910)
- Abdullah S Almedlej
- Saad Bin Shabib
- Seena K. Thomas
- Muhannad Alshehri
- Faris Alanazi
- Rana Almazroa
Institutions
- King Saud bin Abdulaziz University for Health Sciences (SA)
- King Abdullah International Medical Research Center (SA)
- Ministry of Defence (IT)
- Ministry of Health (SA)
- National Guard Health Affairs (SA)
Publication Details
- Journal
- Journal of Orthodontic Science
- Published
- 2026-02-01
- DOI
- https://doi.org/10.4103/jos.jos_111_25
- Primary Topic
- Orthodontics and Dentofacial Orthopedics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of National Guard Health Affairs
- King Abdullah International Medical Research Center