Artificial intelligence in dentistry: A bibliometric analysis from 2000 to 2023

IF 3.4 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE
Bo Xie, Dan Xu, Xu-Qiang Zou, Ming-Jie Lu, Xue-Lian Peng, Xiu-Jie Wen
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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.

牙科中的人工智能:从 2000 年到 2023 年的文献计量分析
背景/目的人工智能(AI)正在重塑牙科临床实践。本研究旨在全面概述人工智能在牙科应用方面的全球趋势和研究热点。材料与方法从科学网核心文库中检索了2000年至2023年间发表的有关人工智能在牙科中应用的研究。使用 VOSviewer、Pajek 和 CiteSpace 软件提取文献计量参数并进行文献计量分析。结果共识别出 651 篇出版物,其中 88.7% 发表于 2019 年之后。来自美国和中国的论文占总数的34.5%。柏林夏里特医科大学是发表论文数量最多的机构,Schwendicke 和 Krois 是该领域最活跃的作者。牙科学杂志》的引用次数最多。牙科人工智能的重点主要集中在成像数据的分析上,与人工智能最常联系在一起的牙科疾病是牙周炎、骨折和龋齿。自2019年以来,最常讨论的牙科人工智能应用包括神经网络、医疗设备、临床决策支持系统、头颈部癌症、支持向量机、几何深度学习和精准医疗。目前的研究重点和预期的未来发展涉及基于创新人工智能算法建立医疗设备和临床决策支持系统,以推进精准牙科治疗。本研究为牙科医生提供了这一领域的宝贵见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Dental Sciences
Journal of Dental Sciences 医学-牙科与口腔外科
CiteScore
5.10
自引率
14.30%
发文量
348
审稿时长
6 days
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.
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