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Tooth Anatomy

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The human tooth enables us to eat a variety of foods, speak clearly, and even aid in shaping our faces. Teeth are composed of various elements that work together. Here's a detailed look at the anatomy of a human tooth.
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Artificial Intelligence in Endodontics-A Bibliometric Analysis.

Eric Chen¹, Justin Jun-Young Eun¹, Alan Chen¹

¹School of Dentistry, The University of Queensland, Herston, Queensland, Australia.

Australian Endodontic Journal : the Journal of the Australian Society of Endodontology Inc

|April 22, 2026

Summary

This summary is machine-generated.

Artificial intelligence (AI) in endodontics is rapidly growing, with a focus on deep learning for diagnosis. However, more international collaboration and diverse applications are needed for clinical use.

Keywords:

artificial intelligence bibliometrics deep learning endodontics

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Area of Science:

Bibliometrics
Artificial Intelligence
Endodontics

Background:

Endodontics is increasingly incorporating artificial intelligence (AI) for various applications.
Understanding research trends is crucial for guiding future development and clinical translation.

Purpose of the Study:

To map and evaluate bibliometric trends in AI research applied to endodontics.
To identify key contributors, collaboration patterns, and research focus areas.

Main Methods:

Bibliometric analysis of studies from PubMed, EMBASE, and Scopus (April 2025).
Inclusion of 220 studies screened for AI in endodontic diagnosis, treatment, and education.
Analysis of publication output, authorship, institutions, countries, citations, and keywords.

Main Results:

Significant growth in AI research in endodontics, with leading contributions from China, USA, Turkey, and India.
Geographically clustered collaboration with limited international integration.
Dominance of deep learning for diagnostic imaging, especially cone-beam computed tomography and image segmentation.

Conclusions:

AI research in endodontics is expanding rapidly, particularly in diagnostic imaging.
There is a need for enhanced international collaboration and diversification of AI applications beyond radiographic analysis to facilitate clinical translation.