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Review
. 2024 Jul;16(Suppl 3):S1956-S1958.
doi: 10.4103/jpbs.jpbs_129_24. Epub 2024 May 13.

Artificial Intelligence in Periodontics: A Comprehensive Review

Anuj Singh Parihar  1 , Sumit Narang  1 , Sanjeev Tyagi  2 , Anu Narang  3 , Shivani Dwivedi  1 , Vartika Katoch  1 , Rashmi Laddha  4
Affiliations
Review

Artificial Intelligence in Periodontics: A Comprehensive Review

Anuj Singh Parihar et al. J Pharm Bioallied Sci. 2024 Jul.

Abstract

Periodontal diseases are prevalent worldwide and pose a significant public health burden. With the advent of artificial intelligence (AI), there has been growing interest in leveraging AI technologies to improve diagnosis, treatment planning, and management of periodontal conditions. This review aims to provide a comprehensive overview of the applications of AI in periodontics, including its potential benefits, challenges, and future directions. Fifteen relevant studies were analyzed to explore the role of AI in periodontal disease detection, risk assessment, treatment planning, and patient management. The findings highlight the promising role of AI in enhancing the accuracy, efficiency, and personalized care delivery in periodontics.

Keywords: Artificial intelligence; periodontics; recent advances.

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Conflict of interest statement

There are no conflicts of interest.

References

    1. Krois J, Ekert T, Meinhold L, Golla T, Kharbot B, Wittemeier A, et al. Deep learning for the radiographic detection of periodontal bone loss. Scientific Rep. 2019;9:8495. - PMC - PubMed
    1. Tabatabaei Balaei A, de Chazal P, Eberhard J, Domnisch H, Spahr A, Ruiz K. Automatic detection of periodontitis using intraoral images; Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Piscataway, NJ, USA: IEEE; 2017. pp. 3906–9. Seogwipo, Korea. 1–15 July 2017. - PubMed
    1. Scott J, Biancardi AM, Jones O, Andrew D. Artificial intelligence in periodontology:A scoping review. Dent J (Basel) 2023;11:43. - PMC - PubMed
    1. Allahverdi N, Akcan T. "A Fuzzy Expert System design for diagnosis of periodontal dental disease," 2011 5th International Conference on Application of Information and Communication Technologies (AICT), Baku, Azerbaijan. 2011:1–5.
    1. Krois J, Ekert T, Meinhold L, Golla T, Kharbot B, Wittemeier A, et al. Deep learning for the radiographic detection of periodontal bone loss. Sci Rep. 2019;9:8495. - PMC - PubMed

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