Evaluation of reliability and reproducibility of artificial intelligence-based, computer-based and traditional manual tracing methods

Emel ARSLAN, Tugce SIRIN, Husamettin OKTAY, Delal Dara KILINC

Open source

DOI: 10.1590/2177-6709.30.3.e2524157.oar
Published: 2025
Container: Dental Press Journal of Orthodontics
Publisher: FapUNIFESP (SciELO)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1590/2177-6709.30.3.e2524157.oar,
  title = {Evaluation of reliability and reproducibility of artificial intelligence-based, computer-based and traditional manual tracing methods},
  author = {Emel ARSLAN and Tugce SIRIN and Husamettin OKTAY and Delal Dara KILINC},
  year = {2025},
  journal = {Dental Press Journal of Orthodontics},
  doi = {10.1590/2177-6709.30.3.e2524157.oar},
  url = {https://doi.org/10.1590/2177-6709.30.3.e2524157.oar}
}

RIS

TY  - JOUR
TI  - Evaluation of reliability and reproducibility of artificial intelligence-based, computer-based and traditional manual tracing methods
AU  - Emel ARSLAN
AU  - Tugce SIRIN
AU  - Husamettin OKTAY
AU  - Delal Dara KILINC
PY  - 2025
JO  - Dental Press Journal of Orthodontics
DO  - 10.1590/2177-6709.30.3.e2524157.oar
UR  - https://doi.org/10.1590/2177-6709.30.3.e2524157.oar
ER  -

APA

ARSLAN, E., SIRIN, T., OKTAY, H., & KILINC, D. D. (2025). Evaluation of reliability and reproducibility of artificial intelligence-based, computer-based and traditional manual tracing methods. Dental Press Journal of Orthodontics. https://doi.org/10.1590/2177-6709.30.3.e2524157.oar

Source records

crossref · retrieved 2026-11-11T04:07:30.489Z