Evaluation of the use of artificial intelligence in evidence-based endodontology: Bibliometric and scientometric analysis

Based on this review, it can be concluded that a more significant research interest in AI and endodontics was observed in the USA. The most cited research articles dealt with dental image diagnosis with the use of convolutional neural networks (CNN), the radiologic diagnosis of apical lesions using AI, and the computer-aided diagnosis of periapical lesions using AI in computed tomography (CT) analyses.

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Publication Details

Journal
Dental and Medical Problems
Published
2025-08-29
DOI
https://doi.org/10.17219/dmp/186833
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluation of the use of artificial intelligence in evidence-based endodontology: Bibliometric and scientometric analysis

Zeynep Şeyda Yavşan, Gülçin Cagay Sevencan
Dental and Medical Problems
Dental Radiography and Imaging
article

Evaluation of the use of artificial intelligence in evidence-based endodontology: Bibliometric and scientometric analysis

Zeynep Şeyda Yavşan, Gülçin Cagay Sevencan
article en

Abstract

Based on this review, it can be concluded that a more significant research interest in AI and endodontics was observed in the USA. The most cited research articles dealt with dental image diagnosis with the use of convolutional neural networks (CNN), the radiologic diagnosis of apical lesions using AI, and the computer-aided diagnosis of periapical lesions using AI in computed tomography (CT) analyses.

Dental and Medical ProblemsVol. 62(4)
Tekirdağ Namık Kemal University (TR)
Openalex Percentile: Top 68%
Dental Radiography and Imaging
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