Document Type
Article
Publication Date
2-2026
Publisher
Biomed Central (BMC)
Source Publication
BMC Oral Health
Source ISSN
1472-6831
Abstract
Background. Artificial Intelligence (AI), defined as systems capable of replicating human tasks aimed at performing complex tasks and supporting decision-making, is entering the field of Dentistry, standing out with its application in research and clinical practices, such as diagnosis using Cone Beam Computed Tomography. The objective of this study is to identify and organize scientific evidence related to the use of Artificial Intelligence in computed tomography as an advanced resource in Endodontics.
Materials and methods. This study is an integrative review, structured in well-defined steps, namely: formulation of the guiding question, selection of inclusion and exclusion criteria, identification of descriptors for creating the search strategy in English and Portuguese, and selection of databases Scopus, Web of Science, PubMed, LILACS, and Google Scholar. Articles addressing the application of Artificial Intelligence in Computed Tomography in Endodontics were included, without distinction of ethnicity and/or sex of patients. Duplicates and content unrelated to the core topic were excluded.
Results. A total of 20 articles were included for full analysis and reading. The analysis highlights the variety of benefits, objectives, artificial intelligence models, individualities in tomography categories used, and a plurality of study limitations presented in the articles.
Conclusion. The application of Artificial Intelligence (Al) in the analysis of tomographic images in Endodontics show great potential for use for patient diagnosis and therapeutic planning.
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Fagundes, Camila Da Silva; Soares, Ana Ligya Monteiro; D'Assuncao, FabioFederal University of Paraíba Luiz Cunha; Kalenderian, Elsbeth; and Melo, Claudia Batista, "Impacts of Artificial Intelligence on Computed Tomography in Endodontics: An Integrative Review" (2026). School of Dentistry Faculty Research and Publications. 601.
https://epublications.marquette.edu/dentistry_fac/601
Comments
Published version. BMC Oral Health, Vol. 26, No. 599 (2026): 1-15. DOI. This article is © Springer Nature. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.