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

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dc.contributor.authorGülşen, İbrahim Tevfik
dc.contributor.authorErdem, Ruşen
dc.contributor.authorGenç, Yavuz Selim
dc.contributor.authorGülşen, Emine
dc.date.accessioned2026-01-24T12:01:13Z
dc.date.available2026-01-24T12:01:13Z
dc.date.issued2025
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractAims: 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.
dc.identifier.doi10.32322/jhsm.1650514
dc.identifier.endpage404
dc.identifier.issn2636-8579
dc.identifier.issue3
dc.identifier.startpage395
dc.identifier.trdizinid1325526
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1325526
dc.identifier.urihttps://doi.org/10.32322/jhsm.1650514
dc.identifier.urihttps://hdl.handle.net/20.500.12868/4113
dc.identifier.volume8
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofJournal of health sciences and medicine (Online)
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR-Dizin_20260121
dc.subjectArtificial intelligence
dc.subjectbibliometrics
dc.subjectorthodontics
dc.subjectorthognathic surgery
dc.titleA bibliometric analysis of the literature from the past to the present on the use of artificial intelligence in orthodontics and orthognathic surgery
dc.typeArticle

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