Evidence map›Paper›PMID 42474723›Full record

ReviewJournal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie2026

Charting the artificial intelligence revolution in orthodontics : A bibliometric analysis of key players, collaborations, and research directions.

Lanxin Xue, Suying Mao, Yanshen Gu, Zekun Sun, Yixin He, Zhuonan Chen, Dongling Wu, Zongying Cai, Wensi Du, Jun Chen and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Lanxin XueCentral South University, Xiangya School of Stomatology, Changsha, China.
Suying MaoCentral South University, Xiangya School of Stomatology, Changsha, China.
Yanshen GuCentral South University, Xiangya School of Stomatology, Changsha, China.
Zekun SunCentral South University, Xiangya School of Stomatology, Changsha, China.
Yixin HeCentral South University, Xiangya School of Stomatology, Changsha, China.
Zhuonan ChenCentral South University, Xiangya School of Stomatology, Changsha, China.
Dongling WuCentral South University, Xiangya School of Stomatology, Changsha, China.
Zongying CaiCentral South University, Xiangya School of Stomatology, Changsha, China.
Wensi DuCentral South University, Xiangya School of Stomatology, Changsha, China.
Jun ChenCentral South University, Xiangya School of Stomatology, Changsha, China.
Wenjie LiCentral South University, Xiangya School of Stomatology, Changsha, China. liwenj@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeArtificial intelligence (AI) is rapidly transforming orthodontics, yet a comprehensive and up-to-date bibliometric analysis is lacking. This study systematically maps key research areas, influential contributors, and collaborative networks driving AI innovation.

methodsA comprehensive search was conducted in the Web of Science (Clarivate, London, UK) for AI and orthodontics articles up to January 10, 2026. CiteSpace (version 6.2.R6, Drexel University, Philadelphia, PA, USA) and VOSviewer (version 1.6.20, Centre for Science and Technology Studies, Leiden University, Leiden, The Netherlands) were used to extract and visualize the data, including publications, journals, institutions, countries, highly cited articles, authors, and keywords.

resultsA total of 454 articles were included, authored by 2150 authors affiliated with 674 institutions across 64 countries. The research landscape has expanded exponentially since 2019, with the USA, China, and South Korea emerging as primary global collaboration hubs. Keyword burst analysis highlighted the rapid clinical integration of AI applications in image recognition, diagnosis, and evaluation.

conclusionThis study maps AI integration trends, showing how AI enhances diagnostic precision and treatment evaluation. These insights might be able to guide researchers toward cutting-edge frontiers. Future research should prioritize multimodal data integration, personalized treatment workflows, and patient privacy protection.

Indexed as

Collaborative networksData analysisDeep learningKnowledge mappingResearch areas

Identifiers

PMID42474723

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.