The Role of Artificial Intelligence in Orthodontics for Determining Skeletal Age Based on Cervical Vertebra Maturation Degree: A Comprehensive Review
AI algorithms can assist orthodontists in identifying CVM stages on lateral cephalograms. While the accuracy of AI algorithm depends on factors such as data set size, labeling methods, and model design, expert supervision and a solid understanding of CVM principles remain essential. AI should be considered as a supportive tool, not a replacement for clinical judgment.
Authors
- Mohammad Behnaz (ORCID: https://orcid.org/0000-0002-2763-3292)
- Mohammad Tahmasbi (ORCID: https://orcid.org/0000-0002-3647-8837)
- Shaghayegh Najary (ORCID: https://orcid.org/0000-0003-2182-2970)
- Mobina Sadat Zarabadi (ORCID: https://orcid.org/0000-0001-9015-7105)
- Pegah Farzanegan
Institutions
- Zanjan University of Medical Sciences (IR)
- Sharif University of Technology (IR)
- Universal Scientific Education and Research Network (IR)
- Shahid Beheshti University of Medical Sciences (IR)
- Tehran University of Medical Sciences (IR)
- Babol University of Medical Sciences (IR)
Publication Details
- Journal
- Health Science Reports
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1002/hsr2.71487
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00