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Dergiler / Journal of Health Sciences and Medicine / 2026 / Volume: 8 Issue: 3

Ortodonti ve ortognatik cerrahide yapay zekanın kullanımına dair geçmişten günümüze literatürün bibliyometrik analizi

A bibliometric analysis of the literature from the past to the present on the use of artificial intelligence in orthodontics and orthognathic surgery

İbrahim Tevfik Gülşen(ALANYA ALAADDİN KEYKUBAT ÜNİVERSİTESİ DİŞ HEKİMLİĞİ FAKÜLTESİ)0000-0002-1014-4417
Ruşen Erdem(KAFKAS UNIVERSITY, FACULTY OF DENTISTRY)0000-0002-5298-7949
Yavuz Selim Genç(Samsun Oral and Dental Health Hospital)0000-0003-0556-2830
Emine Gülşen(Alanya Oral and Dental Health Hospital)0000-0002-7968-2395
Sayfa
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Yayın Tarihi
2025-05-30
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Bulgular: 1991 ile 2024 yılları arasında toplam 842 makale yayımlanmış olup, makale başına ortalama atıf sayısı 12,33’tür.

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Amaç & Hipotez:Amaç: Bu çalışma, ortodonti ve ortognatik cerrahi alanında yapay zeka temelli akademik çalışmaların yayın özelliklerini ayrıntılı olarak incelemeyi amaçlamaktadır.
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Temel Bulgular & Veri:Bulgular: 1991 ile 2024 yılları arasında toplam 842 makale yayımlanmış olup, makale başına ortalama atıf sayısı 12,33’tür.
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Sonuç & Katkı:Yapılan detaylı inceleme, yapay zekanın özellikle sefalometrik değerlendirmeler, tanısal süreçler ve tedavi stratejileri açısından kritik bir role sahip olduğunu göstermektedir.
🔬Tür:Deneysel Tarla Denemesi
📍Kapsam:2024 Verileri
⚙️Değişkenler:Artificial intelligence · bibliometrics · orthodontics

Özet

Amaç: Bu çalışma, ortodonti ve ortognatik cerrahi alanında yapay zeka temelli akademik çalışmaların yayın özelliklerini ayrıntılı olarak incelemeyi amaçlamaktadır. Yöntemler: Bibliyometrik analiz ve veri görselleştirme amacıyla VOSviewer yazılımı ve Bibliometrix Biblioshiny R paketi kullanılmıştır. Bulgular: 1991 ile 2024 yılları arasında toplam 842 makale yayımlanmış olup, makale başına ortalama atıf sayısı 12,33’tür. Çin 200 makale ile en fazla yayın yapan ülke olurken, onu 183 makale ile ABD ve 121 makale ile Güney Kore takip etmiştir. En fazla yayına sahip kurumlar 47 makale ile Seul Ulusal Üniversitesi, 36 makale ile Pekin Üniversitesi ve 34 makale ile Kuzey Karolina Üniversitesi olmuştur. Seul Ulusal Üniversitesi (807 atıf) ve Katolik Leuven Üniversitesi (567 atıf) en yüksek atıf etkisine sahip kurumlardır. Jacobs Reinhilde, 22 yayınla en üretken yazar olurken, Dinggang Shen ve Adriaan Van Gerven ile birlikte en yüksek atıf alan araştırmacılar arasında yer almış ve sırasıyla 544, 491 ve 476 atıf almışlardır. En sık kullanılan anahtar kelimeler "yapay zeka", "derin öğrenme", "makine öğrenimi", "ortodonti", "evrişimli sinir ağı", "ortognatik cerrahi", "diş hekimliği", "sefalometri", "cbct" ve "sefalometrik analiz" olmuştur. Sonuç: Bu bibliyometrik analiz, yapay zekanın ortodonti ve ortognatik cerrahi alanında hızla genişleyen bir araştırma konusu haline geldiğini ve bilim dünyasında büyük ilgi gördüğünü ortaya koymaktadır. Yapılan detaylı inceleme, yapay zekanın özellikle sefalometrik değerlendirmeler, tanısal süreçler ve tedavi stratejileri açısından kritik bir role sahip olduğunu göstermektedir.

Abstract

Aims: This study aims to investigate the publication characteristics of academic work centred around artificial intelligence (AI) in orthodontics and orthognathic surgery in detail. Methods: In this analysis, the VOSviewer software and the Bibliometrix Biblioshiny R-package were employed for the purposes of bibliometric investigation and data visualisation. Results: Between 1991 and 2024, 842 articles were published, averaging 12.33 citations per article. China topped the list with 200 articles, succeeded by the U.S. with 183 and South Korea with 121. Seoul National University authored the highest number of publications (47), succeeded by Peking University (36) and the University of North Carolina (34). Seoul National University (807) and the Catholic University of Leuven (567) ranked highest in citation impact. Jacobs Reinhilde was the most prolific author, with 22 publications, and alongside Dinggang Shen and Adriaan Van Gerven, had the greatest citation counts of 544, 491, and 476, respectively. The most used keywords were “artificial intelligence,” “deep learning,” “machine learning,” “orthodontics,” “convolutional neural network,” “orthognathic surgery,” “dentistry,” “cephalometry,” “CBCT,” and “cephalometric analysis.” Conclusion: This bibliometric analysis illustrates that AI has swiftly become an expanding research subject in orthodontics and orthognathic surgery, attracting considerable interest from the scientific community. The thorough investigation indicates that AI is essential, especially in cephalometric evaluations, diagnostic procedures, and treatment strategies.

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Bu Makaleye Atıf Yap

Gülşen, İ. T., Erdem, R., Genç, Y. S., Gülşen, E. (2025). Ortodonti ve ortognatik cerrahide yapay zekanın kullanımına dair geçmişten günümüze literatürün bibliyometrik analizi. Journal of Health Sciences and Medicine, Volume: 8 Issue: 3. https://doi.org/10.32322/jhsm.1650514

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