Artificial Intelligence in Periodontology: Advantages and Challenges
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Published:2024-06-11
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ISSN:2564-7040
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Container-title:European Journal of Therapeutics
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language:
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Short-container-title:Eur J Ther
Publisher
Pera Publishing
Reference15 articles.
1. Polizzi A, Quinzi V, Lo Giudice A, et al (2024) Accuracy of Artificial Intelligence Models in the Prediction of Periodontitis: A Systematic Review. JDR Clin Trans Res 23800844241232318. https://doi.org/10.1177/23800844241232318
2. Ahmed N, Abbasi MS, Zuberi F, et al (2021) Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry-A Systematic Review. Biomed Res Int 2021:9751564. https://doi.org/10.1155/2021/9751564
3. Papapanou PN, Sanz M, Buduneli N, et al (2018) Periodontitis: Consensus report of workgroup 2 of the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions. J Clin Periodontol 45 Suppl 20:S162–S170. https://doi.org/10.1111/jcpe.12946
4. Ramenzoni LL, Lehner MP, Kaufmann ME, et al (2021) Oral Diagnostic Methods for the Detection of Periodontal Disease. Diagnostics (Basel) 11:571. https://doi.org/10.3390/diagnostics11030571
5. Chang J, Chang M-F, Angelov N, et al (2022) Application of deep machine learning for the radiographic diagnosis of periodontitis. Clin Oral Investig 26:6629–6637. https://doi.org/10.1007/s00784-022-04617-4