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The Place of Artificial Intelligence in Pediatric Dentistry: Traditional Review

Year 2025, Volume: 12 Issue: 1, 178 - 183, 21.04.2025

Zeynep Esma Özalan , Makbule Buse Dundar Sarı , Merve Aksoy

https://doi.org/10.15311/selcukdentj.1499233

Abstract

Artificial intelligence, which has developed rapidly in recent years and become the focus of attention in different sectors, is also very popular in the field of health. These applications aim to reduce human expertise, cost and medical error, save time and increase efficiency and accuracy. The main area of interest of artificial intelligence in healthcare is the creation of artificial intelligence programs that can perform clinical diagnosis and make treatment recommendations. The development of artificial intelligence in the field of dentistry is remarkable. However, these attempts started after medical applications and are still in the early stages. Considering the connection between dentistry and technology artificial intelligence applications have the potential of developing in dental practices. The main problem of studies regarding artificial intelligence in dentistry is the difficulties experienced in data organization, processing and editing. Studies usually carried out by making data sets ready for artificial intelligence models, and therefore resulted in high accuracy. There are very few studies on artificial intelligence in the field of pediatric dentistry. However, in recent years, the number of studies reported on the application of artificial intelligence models in this field has been increasing rapidly in parallel with the number of studies in general dentistry. As the availability of data increases, artificial intelligence applications have begun to prove their benefits in various pediatric dental practices. This review aimed to enlighten the use of artificial intelligence mainly in the field of pediatric dentistry and highlight the current developments in this field.

Keywords

artificial intelligence dentistry pediatric dentistry

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Yapay Zekanın Çocuk Diş Hekimliğinde Yeri: Geleneksel Derleme

Year 2025, Volume: 12 Issue: 1, 178 - 183, 21.04.2025

Zeynep Esma Özalan , Makbule Buse Dundar Sarı , Merve Aksoy

https://doi.org/10.15311/selcukdentj.1499233

Abstract

Son yıllarda hızla gelişim gösteren ve farklı sektörlerde ilgi odağı haline gelen yapay zekâ her alanda olduğu gibi sağlık alanında da oldukça popülerdir. Bu uygulamalar insan uzmanlığını, maliyet ve tıbbi hatayı azaltmayı; zaman tasarrufu sağlamayı; verimliliği ve doğruluğu arttırmayı amaçlamaktadır. Sağlık hizmetlerinde yapay zekânın temel ilgi alanı klinik teşhis işlemlerini gerçekleştirebilecek ve tedavi önerilerinde bulunabilecek yapay zekâ programlarının oluşturulmasıdır. Yapay zekâ uygulamalarının diş hekimliği alanındaki gelişimi dikkat çekicidir. Ancak diş hekimliği alanında kullanılan yapay zekâ uygulamaları tıptaki uygulamalardan sonra başlamıştır ve henüz başlangıç aşamasında sayılmaktadır. Günümüzde diş hekimliği alanlarının her biri teknoloji ile bağlantılıdır. Bu da yapay zekâ uygulamalarının diş hekimliğinde geliştirilme potansiyeline sahip olduğunu göstermektedir. Diş hekimliğindeki yapay zekâ çalışmalarının temel sorunu veri organizasyonunda, işlenmesinde ve düzenlenmesinde yaşanılan sıkıntılardır. Veri setlerinin yapay zekâ modellerine hazır hale getirilmesiyle birçok çalışma yapılmış ve yapılan çalışmalar yüksek doğrulukla sonuçlanmıştır. Çocuk diş hekimliği alanında yapay zekâ üzerine yapılmış çalışmalar oldukça azdır, ancak son yıllarda yapay zekâ modellerinin bu alanda uygulanmasıyla ilgili bildirilen çalışma sayısı genel diş hekimliğindeki çalışma sayısıyla paralel olarak hızla artış göstermektedir. Verilerin kullanılabilirliği arttıkça yapay zekâ uygulamaları çeşitli pediatrik dental uygulamalarda faydalarını kanıtlamaya başlamıştır. Bu derlemede, yapay zekânın özellikle çocuk diş hekimliğindeki kullanım alanlarından ve bu konudaki güncel gelişmelerden bahsedilmesi amaçlanmıştır.

Keywords

çocuk diş hekimliği diş hekimlği yapay zeka

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  • 34. Schlickenrieder A, Meyer O, Schönewolf J, Engels P, Hickel R, Gruhn V, et al. Automatized detection and categorization of fissure sealants from ıntraoral digital photographs using artificial ıntelligence. Diagnostics. 2021;11(9):1608.
  • 35. Yamaguchi S, Lee C, Karaer O, Ban S, Mine A, Imazato S. Predicting the debonding of cad/cam composite resin crowns with AI. J Dent Res. 2019;98(11):1234–8.
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  • 44. Chu P, Bo C, Liang X, Yang J, Megalooikonomou V, Yang F, et al. Using octuplet siamese network for osteoporosis analysis on dental panoramic radiographs. In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE; 2018. p. 2579–82.
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There are 73 citations in total.

Details

Primary Language Turkish
Subjects Paedodontics
Journal Section Review
Authors

Zeynep Esma Özalan 0009-0002-9351-132X

Makbule Buse Dundar Sarı 0000-0002-8848-8850

Merve Aksoy 0000-0003-1577-0289

Publication Date April 21, 2025
Submission Date June 12, 2024
Acceptance Date July 25, 2024
Published in Issue Year 2025 Volume: 12 Issue: 1

Cite

Vancouver Özalan ZE, Dundar Sarı MB, Aksoy M. Yapay Zekanın Çocuk Diş Hekimliğinde Yeri: Geleneksel Derleme. Selcuk Dent J. 2025;12(1):178-83.
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