Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2024 Dec 24:5:1482334.
doi: 10.3389/froh.2024.1482334. eCollection 2024.

An overview of artificial intelligence based automated diagnosis in paediatric dentistry

Suba B Rajinikanth  1 , Densingh Samuel Raj Rajkumar  2 , Akshay Rajinikanth  3 , Ponsekar Abraham Anandhapandian  4 , Bhuvaneswarri J  5
Affiliations
Review

An overview of artificial intelligence based automated diagnosis in paediatric dentistry

Suba B Rajinikanth et al. Front Oral Health. .

Abstract

Artificial intelligence (AI) is a subfield of computer science with the goal of creating intelligent machines (1) Machine learning is a branch of artificial intelligence. In machine learning a datasets are used for training diagnostic algorithms. This review comprehensively explains the applications of AI in the diagnosis in paediatric dentistry. The online database searches were performed between 25th May 2024 to 1st July 2024. Original research studies that focus on the automated diagnosis or predicted the outcome in Paediatric dentistry using AI were included in this review. AI is being used in varied domains of paediatric dentistry like diagnosis of supernumerary and submerged teeth, early diagnosis of dental caries, diagnosis of dental plaques, assessment of bone age, forensic dentistry and preventive oral dental healthcare kit. The field of AI, deep machine learning and CNN's is an upcoming and newer area, with new developments this will open up areas for more sophisticated algorithms in multiple layers to predict accurately, when compared to experienced Paediatric dentists.

Keywords: artificial intelligence; automated diagnosis; convoluted neural network; deep learning; dental caries; dental plaques; paediatric dentistry.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
The neural network of machine learning.
Figure 2
Figure 2
AI networks in automated diagnosis.
See this image and copyright information in PMC

References

    1. Shapiro SC. Artificial Intelligence (AI). Encyclopedia of Computer Science. 2nd ed. New York: Wiley; (2003). p. 89–93.
    1. Sadegh-Zadeh SA, Rahmani Qeranqayeh A, Benkhalifa E, Dyke D, Taylor L, Bagheri M. Dental caries risk assessment in children 5 years old and under via machine learning. Dent J. (2022) 10(9):164. 10.3390/dj10090164 - DOI - PMC - PubMed
    1. Chatzimichail E, Feltgen N, Motta L, Empeslidis T, Konstas AG, Gatzioufas Z, et al. Transforming the future of ophthalmology: artificial intelligence and robotics’ breakthrough role in surgical and medical retina advances: a mini review. Front Med. (2024) 11:1434241. 10.3389/fmed.2024.1434241 - DOI - PMC - PubMed
    1. Nakayama Y, Ohnishi H, Mori M. Association of environmental tobacco smoke with the risk of severe early childhood caries among 3-year-old Japanese children. Caries Res. (2019) 53:268–74. 10.1159/000492790 The performance of the proposed computer-aided diagnosis solution is comparable to the level of experts. - DOI - PubMed
    1. Caliskan S, Tuloglu N, Celik O, Ozdemir C, Kizilaslan S, Bayrak S. A pilot study of a deep learning approach to submerged primary tooth classification and detection. Int J Comput Dent. (2021) 24(1):1–9. 10.3290/j.ijcd.b994539 - DOI - PubMed

LinkOut - more resources