Population effects and cross-population generalisability of the third molar maturity index for 18-year age classification: a multi-centre study with machine learning validation.

Shi L, Brkić H, Pereira CP, Fredriksson MV, da Silva RHA, Gao D, Vodanović M, Rodrigues A, Sevä K, Figueira-Silva PC, Huang J, Santos R, da Silva MC, Ouyang Y, Haye Biazevic MG, Galić I

Open source

DOI
10.1007/s00414-026-03965-0
Published
2026 Aug 20
Container
International journal of legal medicine
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1007/s00414-026-03965-0,
  title = {Population effects and cross-population generalisability of the third molar maturity index for 18-year age classification: a multi-centre study with machine learning validation.},
  author = {Shi L and Brkić H and Pereira CP and Fredriksson MV and da Silva RHA and Gao D and Vodanović M and Rodrigues A and Sevä K and Figueira-Silva PC and Huang J and Santos R and da Silva MC and Ouyang Y and Haye Biazevic MG and Galić I},
  year = {2026},
  journal = {International journal of legal medicine},
  doi = {10.1007/s00414-026-03965-0},
  url = {https://doi.org/10.1007/s00414-026-03965-0}
}

RIS

TY  - JOUR
TI  - Population effects and cross-population generalisability of the third molar maturity index for 18-year age classification: a multi-centre study with machine learning validation.
AU  - Shi L
AU  - Brkić H
AU  - Pereira CP
AU  - Fredriksson MV
AU  - da Silva RHA
AU  - Gao D
AU  - Vodanović M
AU  - Rodrigues A
AU  - Sevä K
AU  - Figueira-Silva PC
AU  - Huang J
AU  - Santos R
AU  - da Silva MC
AU  - Ouyang Y
AU  - Haye Biazevic MG
AU  - Galić I
PY  - 2026
JO  - International journal of legal medicine
DO  - 10.1007/s00414-026-03965-0
UR  - https://doi.org/10.1007/s00414-026-03965-0
ER  - 

APA

L, S., H, B., CP, P., MV, F., RHA, D. S., D, G., M, V., A, R., K, S., PC, F., J, H., R, S., MC, D. S., Y, O., MG, H. B., & I, G. (2026). Population effects and cross-population generalisability of the third molar maturity index for 18-year age classification: a multi-centre study with machine learning validation.. International journal of legal medicine. https://doi.org/10.1007/s00414-026-03965-0

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