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.
Authors
- Zeynep Şeyda Yavşan (ORCID: https://orcid.org/0000-0003-1275-0258)
- Gülçin Cagay Sevencan (ORCID: https://orcid.org/0000-0002-8486-4572)
Institutions
- Tekirdağ Namık Kemal University (TR)
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