ROLE AND IMPLICATIONS OF ARTIFICIAL INTELLIGENCE IN DENTISTRY: A REVIEW

Main Article Content

ALISTER CRASTO, ROMA MASCARENHAS

Abstract

Objective: This review highlights the importance of Artificial intelligence in various aspects of dentistry. Presently, artificial intelligence has gained its acceptance and magnitude in various fields including dentistry. When we consider that John McCarthy first established this area of computer-aided learning known as artificial intelligence in 1956, the introduction of ChatGPT demonstrates just how far artificial intelligence has already progressed in this short period of time.


Results: AI has been shown to have various uses in the different aspects of dentistry. The applications of ai are seen in different fields like in endodontics; it can measure working length, observing the anatomy of the pulp space, foretelling the feasibility and potentiality of stem cells of the dental pulp, scrutinizing periapical lesions, root and tooth fractures and estimating the prognosis of retrodontics. In radiology can help in diagnosis. In orthodontics it helps in treatment planning. In periodontics it helps in differentiation between chronic and aggressive periodontitis. In oral pathology detection of precancerous lesions can be detected.

Article Details

Section
Articles

References

Deshmukh SV. Artificial intelligence in dentistry. J Int Clin Dent Res Organ 2018;10:47-8.

Aminoshariae A, Kulild J, Nagendrababu V. Artificial Intelligence in Endodontics: Current Applications and Future Directions. J Endod. 2021 Sep;47(9):1352-1357.

Choi, Y. J., & Lee, K. J. Possibilities of artificial intelligence use in orthodontic diagnosis and treatment planning: Image recognition and three-dimensional VTO. Seminars in Orthodontics 2021, 27(2), 121-129.

Ding H, Wu J, Zhao W, Matinlinna JP, Burrow MF and Tsoi JKH. Artificial intelligence in dentistry—A review. Front. Dent. Med 2023; 4:108525.

Agatonovic-Kustrin S, Beresford R. Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research. J Pharm Biomed Anal. 2000; 22(5):717–27. doi: 10.1016/S0731-7085(99)00272-1.

Nguyen TT, Larrivée N, Lee A, Bilaniuk O, Durand R. Use of Artificial Intelligence in Dentistry: Current Clinical Trends and Research Advances. J Can Dent Assoc. 2021 May;87:l7.

Chang, HJ., Lee, SJ., Yong, TH. et al. Deep Learning Hybrid Method to Automatically Diagnose Periodontal Bone Loss and Stage Periodontitis. Sci Rep 2020,10, 7531.

Alotaibi G, Awawdeh M, Farook FF, Aljohani M, Aldhafiri RM, Aldhoayan M. Artificial intelligence (AI) diagnostic tools: utilizing a convolutional neural network (CNN) to assess periodontal bone level radiographically-a retrospective study. BMC Oral Health. 2022 Sep 13;22(1):399. doi: 10.1186/s12903-022-02436-3.

Lee JH, Kim DH, Jeong SN, Choi SH. Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm. J Periodontal Implant Sci. 2018 Apr 30;48(2):114-123.