Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis
Abstract Background Artificial intelligence (AI) methods, including machine learning and deep learning, are increasingly applied in orthodontics for tasks like assessing skeletal maturity. Accurate timing of treatment is crucial, but traditional methods such as cervical vertebral maturation (CVM) st...
Saved in:
| Main Authors: | Termeh Sarrafan Sadeghi, Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Parnian Shobeiri, Saeed Reza Motamedian |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-02-01
|
| Series: | BMC Oral Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12903-025-05482-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cervical vertebrae staging in pre-orthodontic patients in Benin City, Nigeria
by: I.N. Ize-Iyamu
Published: (2014-06-01) -
Growth changes in the craniofacial complex in class II skeletal patterns and cervical vertebral maturation: A cross-sectional study
by: Arif Yezdani
Published: (2024-01-01) -
Determination of cervical vertebral maturation using machine learning in lateral cephalograms
by: Shahab Kavousinejad, et al.
Published: (2024-12-01) -
‘Cervical vertebral metrics’ A reliable approach to forensic identification: A comprehensive review
by: Shreya, et al.
Published: (2025-06-01) -
Cervical Vertebral Maturation Assessment using various Machine Learning techniques on Lateral cephalogram: A systematic literature review
by: Shailendra Singh Rana, et al.
Published: (2023-09-01)