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
-
Endovascular treatment of penetrating nail gun injury of the cervical spine and vertebral artery: a case report
by: Alexei Christodoulides, et al.
Published: (2022-09-01) -
Endoscopy-assisted anterior cervical discectomy and fusion with internal fixation vs conventional surgery in the treatment of cervical disc herniation
by: Haicun Zhang, et al.
Published: (2024-07-01) -
Evaluation of Radiological and Anatomical Features of Cervical Vertebrae in Adult Persian Cat
by: Peghah Derakhshi, et al.
Published: (2024-11-01) -
Determining anatomically-safe corridors for placement of lateral mass screws in the first cervical vertebra of the Emirati population – a CT study
by: Dineshwary Suresh, et al.
Published: (2025-01-01) -
RELATIONSHIP BETWEEN CERVICAL SAGITTAL ALIGNMENT AND CURVE PATTERN IN IDIOPATHIC SCOLIOSIS
by: Mauricio Coelho Lima, et al.
Published: (2024-12-01)