Can artificial intelligence diagnose the invisible? A scenario-based evaluation of AI performance in cracked tooth diagnosis.

Eraslan Akyüz İ, Değirmenci S, Eroğlu A, Topçuoğlu HS

DOI: 10.1007/s10266-026-01492-3
Published: 2026 Jun 30
Container: Odontology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10266-026-01492-3,
  title = {Can artificial intelligence diagnose the invisible? A scenario-based evaluation of AI performance in cracked tooth diagnosis.},
  author = {Eraslan Akyüz İ and Değirmenci S and Eroğlu A and Topçuoğlu HS},
  year = {2026},
  journal = {Odontology},
  doi = {10.1007/s10266-026-01492-3},
  url = {https://doi.org/10.1007/s10266-026-01492-3}
}

RIS

TY  - JOUR
TI  - Can artificial intelligence diagnose the invisible? A scenario-based evaluation of AI performance in cracked tooth diagnosis.
AU  - Eraslan Akyüz İ
AU  - Değirmenci S
AU  - Eroğlu A
AU  - Topçuoğlu HS
PY  - 2026
JO  - Odontology
DO  - 10.1007/s10266-026-01492-3
UR  - https://doi.org/10.1007/s10266-026-01492-3
ER  -

APA

İ, E. A., S, D., A, E., & HS, T. (2026). Can artificial intelligence diagnose the invisible? A scenario-based evaluation of AI performance in cracked tooth diagnosis.. Odontology. https://doi.org/10.1007/s10266-026-01492-3

Source records

pubmed · retrieved 2026-09-26T09:41:51.531Z