Comment on: Detecting dental caries on oral photographs using artificial intelligence: A systematic review
- PMID: 37890040
- DOI: 10.1111/odi.14794
Comment on: Detecting dental caries on oral photographs using artificial intelligence: A systematic review
Comment on
-
Detecting dental caries on oral photographs using artificial intelligence: A systematic review.Oral Dis. 2024 May;30(4):1765-1783. doi: 10.1111/odi.14659. Epub 2023 Jul 1. Oral Dis. 2024. PMID: 37392423
References
REFERENCES
-
- Hand, D., & Christen, P. (2018). A note on using the F‐measure for evaluating record linkage algorithms. Statistics and Computing, 28(3), 539–547. https://doi.org/10.1007/s11222‐017‐9746‐6
-
- Kapor, S., Rankovic, M. J., Khazaei, Y., Crispin, A., Schüler, I., Krause, F., Lussi, A., Neuhaus, K., Eggmann, F., Michou, S., Ekstrand, K., Huysmans, M.‐C., & Kühnisch, J. (2021). Systematic review and meta‐analysis of diagnostic methods for occlusal surface caries. Clinical Oral Investigations, 25(8), 4801–4815. https://doi.org/10.1007/s00784‐021‐04024‐1
-
- Lussi, A. (1993). Comparison of different methods for the diagnosis of fissure caries without cavitation. Caries Research, 27(5), 409–416. https://doi.org/10.1159/000261572
-
- Moharrami, M., Farmer, J., Singhal, S., Watson, E., Glogauer, M., Johnson, A. E. W., Schwendicke, F., & Quinonez, C. (2023). Detecting dental caries on oral photographs using artificial intelligence: A systematic review. Oral Diseases. https://doi.org/10.1111/odi.14659
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical