Diagnostic Accuracy of a Machine Learning Model for Cervical Vertebra-Based Skeletal Maturity Assessment in Pediatric and Adolescent Patients Using Cephalometric Radiographs.

Helal N, Al-Malki F, Saadi B, Basri O

Open source

DOI
10.3390/diagnostics16182886
Published
2026 Sep 8
Container
Diagnostics (Basel, Switzerland)
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/diagnostics16182886,
  title = {Diagnostic Accuracy of a Machine Learning Model for Cervical Vertebra-Based Skeletal Maturity Assessment in Pediatric and Adolescent Patients Using Cephalometric Radiographs.},
  author = {Helal N and Al-Malki F and Saadi B and Basri O},
  year = {2026},
  journal = {Diagnostics (Basel, Switzerland)},
  doi = {10.3390/diagnostics16182886},
  url = {https://doi.org/10.3390/diagnostics16182886}
}

RIS

TY  - JOUR
TI  - Diagnostic Accuracy of a Machine Learning Model for Cervical Vertebra-Based Skeletal Maturity Assessment in Pediatric and Adolescent Patients Using Cephalometric Radiographs.
AU  - Helal N
AU  - Al-Malki F
AU  - Saadi B
AU  - Basri O
PY  - 2026
JO  - Diagnostics (Basel, Switzerland)
DO  - 10.3390/diagnostics16182886
UR  - https://doi.org/10.3390/diagnostics16182886
ER  - 

APA

N, H., F, A., B, S., & O, B. (2026). Diagnostic Accuracy of a Machine Learning Model for Cervical Vertebra-Based Skeletal Maturity Assessment in Pediatric and Adolescent Patients Using Cephalometric Radiographs.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16182886

Source records