Exploring the Methodological Approaches of Studies on Radiographic Databases Used in Cariology to Feed Artificial Intelligence: A Systematic Review

Amadou Diaw Ndiaye, Marie Agnès Gasqui, Fabien Millioz, Matthieu Perard, Fatou Leye Benoist, Brigitte Grosgogeat

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DOI: 10.1159/000536277
Published: 2024
Container: Caries Research
Publisher: S. Karger AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1159/000536277,
  title = {Exploring the Methodological Approaches of Studies on Radiographic Databases Used in Cariology to Feed Artificial Intelligence: A Systematic Review},
  author = {Amadou Diaw Ndiaye and Marie Agnès Gasqui and Fabien Millioz and Matthieu Perard and Fatou Leye Benoist and Brigitte Grosgogeat},
  year = {2024},
  journal = {Caries Research},
  doi = {10.1159/000536277},
  url = {https://doi.org/10.1159/000536277}
}

RIS

TY  - JOUR
TI  - Exploring the Methodological Approaches of Studies on Radiographic Databases Used in Cariology to Feed Artificial Intelligence: A Systematic Review
AU  - Amadou Diaw Ndiaye
AU  - Marie Agnès Gasqui
AU  - Fabien Millioz
AU  - Matthieu Perard
AU  - Fatou Leye Benoist
AU  - Brigitte Grosgogeat
PY  - 2024
JO  - Caries Research
DO  - 10.1159/000536277
UR  - https://doi.org/10.1159/000536277
ER  -

APA

Ndiaye, A. D., Gasqui, M. A., Millioz, F., Perard, M., Benoist, F. L., & Grosgogeat, B. (2024). Exploring the Methodological Approaches of Studies on Radiographic Databases Used in Cariology to Feed Artificial Intelligence: A Systematic Review. Caries Research. https://doi.org/10.1159/000536277

Source records

crossref · retrieved 2026-09-27T06:16:50.110Z