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

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...

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Bibliographic Details
Main Authors: Bo Xie (Author), Dan Xu (Author), Xu-Qiang Zou (Author), Ming-Jie Lu (Author), Xue-Lian Peng (Author), Xiu-Jie Wen (Author)
Format: Book
Published: Elsevier, 2024-07-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Bo Xie  |e author 
700 1 0 |a Dan Xu  |e author 
700 1 0 |a Xu-Qiang Zou  |e author 
700 1 0 |a Ming-Jie Lu  |e author 
700 1 0 |a Xue-Lian Peng  |e author 
700 1 0 |a Xiu-Jie Wen  |e author 
245 0 0 |a Artificial intelligence in dentistry: A bibliometric analysis from 2000 to 2023 
260 |b Elsevier,   |c 2024-07-01T00:00:00Z. 
500 |a 1991-7902 
500 |a 10.1016/j.jds.2023.10.025 
520 |a 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. 
546 |a EN 
690 |a Artificial intelligence 
690 |a Bibliometric analysis 
690 |a Dentistry 
690 |a Dentistry 
690 |a RK1-715 
655 7 |a article  |2 local 
786 0 |n Journal of Dental Sciences, Vol 19, Iss 3, Pp 1722-1733 (2024) 
787 0 |n http://www.sciencedirect.com/science/article/pii/S1991790223003604 
787 0 |n https://doaj.org/toc/1991-7902 
856 4 1 |u https://doaj.org/article/ebf93f0f62ee4e0080c8fe91f3cf7b32  |z Connect to this object online.