Bo Xie, Dan Xu, Xu-Qiang Zou, Ming-Jie Lu, Xue-Lian Peng, Xiu-Jie Wen
{"title":"Artificial intelligence in dentistry: A bibliometric analysis from 2000 to 2023","authors":"Bo Xie, Dan Xu, Xu-Qiang Zou, Ming-Jie Lu, Xue-Lian Peng, Xiu-Jie Wen","doi":"10.1016/j.jds.2023.10.025","DOIUrl":null,"url":null,"abstract":"<div><h3>Background/purpose</h3><p>Artificial intelligence (AI) is reshaping clinical practice in dentistry. This study aims to provide a comprehensive overview of global trends and research hotspots on the application of AI to dentistry.</p></div><div><h3>Materials and methods</h3><p>Studies on AI in dentistry published between 2000 and 2023 were retrieved from the Web of Science Core Collection. Bibliometric parameters were extracted and bibliometric analysis was conducted using VOSviewer, Pajek, and CiteSpace software.</p></div><div><h3>Results</h3><p>A total of 651 publications were identified, 88.7 % of which were published after 2019. Publications originating from the United States and China accounted for 34.5 % of the total. The Charité Medical University of Berlin was the institution with the highest number of publications, and Schwendicke and Krois were the most active authors in the field. The Journal of Dentistry had the highest citation count. The focus of AI in dentistry primarily centered on the analysis of imaging data and the dental diseases most frequently associated with AI were periodontitis, bone fractures, and dental caries. The dental AI applications most frequently discussed since 2019 included neural networks, medical devices, clinical decision support systems, head and neck cancer, support vector machine, geometric deep learning, and precision medicine.</p></div><div><h3>Conclusion</h3><p>Research on AI in dentistry is experiencing explosive growth. The prevailing research emphasis and anticipated future development involve the establishment of medical devices and clinical decision support systems based on innovative AI algorithms to advance precision dentistry. This study provides dentists with valuable insights into this field.</p></div>","PeriodicalId":15583,"journal":{"name":"Journal of Dental Sciences","volume":"19 3","pages":"Pages 1722-1733"},"PeriodicalIF":3.4000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1991790223003604/pdfft?md5=af5970d9ea8b9ebf1df53d5a3a355183&pid=1-s2.0-S1991790223003604-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Dental Sciences","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1991790223003604","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Background/purpose
Artificial intelligence (AI) is reshaping clinical practice in dentistry. This study aims to provide a comprehensive overview of global trends and research hotspots on the application of AI to dentistry.
Materials and methods
Studies on AI in dentistry published between 2000 and 2023 were retrieved from the Web of Science Core Collection. Bibliometric parameters were extracted and bibliometric analysis was conducted using VOSviewer, Pajek, and CiteSpace software.
Results
A total of 651 publications were identified, 88.7 % of which were published after 2019. Publications originating from the United States and China accounted for 34.5 % of the total. The Charité Medical University of Berlin was the institution with the highest number of publications, and Schwendicke and Krois were the most active authors in the field. The Journal of Dentistry had the highest citation count. The focus of AI in dentistry primarily centered on the analysis of imaging data and the dental diseases most frequently associated with AI were periodontitis, bone fractures, and dental caries. The dental AI applications most frequently discussed since 2019 included neural networks, medical devices, clinical decision support systems, head and neck cancer, support vector machine, geometric deep learning, and precision medicine.
Conclusion
Research on AI in dentistry is experiencing explosive growth. The prevailing research emphasis and anticipated future development involve the establishment of medical devices and clinical decision support systems based on innovative AI algorithms to advance precision dentistry. This study provides dentists with valuable insights into this field.
期刊介绍：
he Journal of Dental Sciences (JDS), published quarterly, is the official and open access publication of the Association for Dental Sciences of the Republic of China (ADS-ROC). The precedent journal of the JDS is the Chinese Dental Journal (CDJ) which had already been covered by MEDLINE in 1988. As the CDJ continued to prove its importance in the region, the ADS-ROC decided to move to the international community by publishing an English journal. Hence, the birth of the JDS in 2006. The JDS is indexed in the SCI Expanded since 2008. It is also indexed in Scopus, and EMCare, ScienceDirect, SIIC Data Bases.
The topics covered by the JDS include all fields of basic and clinical dentistry. Some manuscripts focusing on the study of certain endemic diseases such as dental caries and periodontal diseases in particular regions of any country as well as oral pre-cancers, oral cancers, and oral submucous fibrosis related to betel nut chewing habit are also considered for publication. Besides, the JDS also publishes articles about the efficacy of a new treatment modality on oral verrucous hyperplasia or early oral squamous cell carcinoma.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
