A Bibliometric Analysis of the Field of Artificial Intelligence in Cariology

Yıl 2024, Cilt: 11 Sayı: 2, 192 - 200, 19.08.2024

İbrahim Tevfik Gülşen , Ruşen Erdem , Yavuz Selim Genç , Gülbeddin Yalınız

https://doi.org/10.15311/selcukdentj.1503076

Öz

Background: The aim of this study is to examine the development trends and dynamics of research on the use of artificial intelligence in dental caries diagnosis, to identify the strengths and limitations of the existing literature, and to guide future research.
Methods: A literature search was conducted using the Web of Science database, covering articles published before 3 June 2024. Pilot searches were conducted and 883 studies were reached. After the specified scanning and filtering processes, the study was carried out on 270 publications. In the bibliometric analysis, the Biblioshiny R package as well as the features of Web of Science and VOSviewer software were used for visualizations. Microsoft Excel was used to tabulate the data.
Results: There is a general increase in the number of articles published each year. A total of 3081 citations were made to publications on the use of artificial intelligence in cariology. The average number of citations per article was found to be 11.41, and the H index was 29. The most cited country was Germany (581 citations), and the most influential author was Falk Schwendicke. On the basis of institutions, the highest contribution was made by Charite University Medicine Berlin (19 articles, 475 citations).
Conclusion: Since 2008, and particularly since 2018, the utilisation of artificial intelligence (AI) in the investigation of dental caries and oral and dental diseases has garnered increasing interest. Artificial Intelligence (AI) can be said to be a groundbreaking discovery that will be increasingly applied in various branches of dentistry.

Anahtar Kelimeler

Artificial intelligence, Bibliometric, Dental caries

Diş Çürüklerinde Yapay Zeka Kullanımının Bibliyometrik Analizi

Öz

Amaç: Bu çalışmanın amacı, yapay zekanın diş çürüğü teşhisindeki kullanımına yönelik yapılan araştırmaların gelişim trendlerini ve dinamiklerini incelemek, mevcut literatürün güçlü ve zayıf yönlerini belirlemek ve gelecekteki araştırmalara rehberlik etmektir.
Gereçler ve Yöntemler: Web of Science veritabanı kullanılarak 3 Haziran 2024'ten önce yayınlanan makaleleri kapsayan bir literatür taraması yapılmıştır. Pilot aramalar yapılarak 883 çalışmaya ulaşıldı. Belirlenen tarama ve filtreleme işlemlerinin ardından çalışma 270 yayın üzerinde gerçekleştirilmiştir. Bibliyometrik analizde görselleştirmeler için Biblioshiny R paketinin yanı sıra Web of Science'ın özellikleri ve VOSviewer yazılımı kullanıldı. Verilerin tablolanması için Microsoft Excel kullanıldı.
Bulgular: Her yıl yayımlanan makale sayısında genel bir artış görülmektedir. Kariyolojide yapay zeka kullanımına ilişkin yayınlara toplam 3081 atıf yapılmıştır. Makale başına ortalama atıf sayısı 11,41, H indeksi ise 29 olarak bulunmuştur. En fazla alıntı yapılan ülke Almanya (581 alıntı), en etkili yazar ise Falk Schwendicke olmuştur. Kurumlar bazında ise en yüksek katkıyı Charite University Medicine Berlin (19 makale, 475 alıntı) yapmıştır.
Sonuçlar: 2008 yılından itibaren ve özellikle 2018'den sonra yapay zekanın (AI), kariyoloji ve ağız ve diş hastalıklarının araştırılmasında kullanımı giderek büyük ilgi görmeye başlamıştır. Yapay Zekanın (AI) diş hekimliğinin çeşitli dallarında giderek daha fazla uygulanacak çığır açıcı bir keşif olduğu söylenebilir.

Anahtar Kelimeler

Yapay zeka, Biblioymetri, Diş çürüğü

Kaynakça

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