Comparative Evaluation of Craniofacial Growth Patterns Using AI-Driven Longitudinal Cephalometric Superimpositions in Adolescents
AI-driven cephalometric superimposition provides a reliable and efficient method for assessing craniofacial growth in adolescents. Vertical growers show greater vertical skeletal development, while horizontal growers exhibit more prominent mandibular lengthening. AI integration into routine cephalometric evaluation can significantly enhance diagnostic accuracy and growth prediction.
Authors
- Mohammad Khursheed Alam (ORCID: https://orcid.org/0000-0001-7131-1752)
- Mohammad Younis Hajeer (ORCID: https://orcid.org/0000-0003-0640-1297)
- Mohammed Enamur Rashid
- Renad N. Abahussain
- Reuof A. Algadri
- Dalia M. Alamri
Institutions
- Jouf University (SA)
- Daffodil International University (BD)
- Taibah University (SA)
- Saveetha University (IN)
- Damascus University (SY)
Publication Details
- Journal
- Journal of Pharmacy And Bioallied Sciences
- Published
- 2025-12-01
- DOI
- https://doi.org/10.4103/jpbs.jpbs_1346_25
- Primary Topic
- Orthodontics and Dentofacial Orthopedics
- Type
- article
- Field-Weighted Citation Impact
- 0.00