Bibliometric Analysis of the Use of Artificial Intelligence in Dental Implantology

Year 2024, Volume: 10 Issue: 2, 155 - 167, 16.08.2024

Ruşen Erdem Yavuz Selim Genç Gülbeddin Yalınız İbrahim Tevfik Gülşen

Abstract

Objectives: The objective of this study was to examine the evolution of research on the utilisation of artificial intelligence in the field of dental implantology, to identify the strengths and limitations of the existing literature, and to inform future research.
Materials and Methods: A literature search was conducted using the Web of Science database, covering articles published before 4 June 2024. Pilot searches were conducted, resulting in the identification of 488 studies. After the determined screening and filtering processes, the study was carried out on 175 publications. VOSviewer software was used for visualisations in bibliometric analysis. Microsoft Excel was used for tabulation of the data.
Results: The number of articles published each year is on the rise. China is the most influential country in terms of the number of publications on the application of artificial intelligence in the field of implantology, with 36 articles. South Korea is the most influential country in terms of citations, with 392. The most influential author was Jae-Hong Lee. In terms of institutional contributions, the highest number of publications was made by Wonkwang University and Yonsei University in South Korea.
Conclusion: Since 2018, the use of artificial intelligence (AI) in the field of dental implantology has attracted increasing attention. It can be argued that AI represents a groundbreaking discovery that will be increasingly applied in various branches of implantology.

Keywords

Artificial Intelligence, Bibliometrics, Dental implant

Dental İmplantolojide Yapay Zeka Kullanımının Bibliyometrik Analizi

Abstract

Amaç: Bu çalışmanın amacı, yapay zekanın dental implantolojideki kullanımına yönelik yapılan araştırmaların gelişim trendlerini ve dinamiklerini incelemek, mevcut literatürün güçlü ve zayıf yönlerini belirlemek ve gelecekteki araştırmalara rehberlik etmektir.
Gereç ve Yöntemler: Web of Science veritabanı kullanılarak 4 Haziran 2024’den önce yayınlanan makaleleri kapsayan bir literatür taraması yapılmıştır. Pilot aramalar yapılarak 488 çalışmaya ulaşıldı. Belirlenen tarama ve filtreleme işlemlerinin ardından çalışma 175 yayın üzerinde gerçekleştirilmiştir. Bibliyometrik analizde görselleştirmeler için VOSviewer programı kullanıldı. Verilerin tablolanması için Microsoft Excel kullanıldı.
Bulgular: Her yıl yayınlanan makale sayısında genel bir artış söz konusudur. Yapay zekanın implantoloji alanında uygulanmasında 36 yayın ile Çin en etkili ülke iken, alıntılanma sayılarına bakıldığında ise Güney Kore 392 atıf ile en etkili ülke konumundadır. En etkili yazar Jae-Hong LEE olmuştur. Kurumlar bazında ise en yüksek katkıyı Güney Kore'deki Wonkwang Üniversitesi ve Yonsei Üniversitesi yapmıştır.
Sonuç: 2018 yılından itibaren yapay zekanın (YZ), dental implantoloji alanında kullanımı giderek büyük ilgi görmeye başlamıştır. Yapay zekanın implantolojinin çeşitli dallarında giderek daha fazla uygulanacak çığır açıcı bir keşif olduğu söylenebilir.

Keywords

Bibliyometri, Yapay zeka, Diş implantı

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