ReviewBMC oral health2026
Impacts of artificial intelligence on computed tomography in endodontics: an integrative review.
Review in BMC oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial 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
methodsThis 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.
resultsA 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.
conclusionThe application of Artificial Intelligence (Al) in the analysis of tomographic images in Endodontics show great potential for use for patient diagnosis and therapeutic planning.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.