ReviewClinical and experimental dental research2025
AI in Root Canal Morphology: A Detailed Bibliometric Analysis of Research Trends and Global Contributions.
Review in Clinical and experimental dental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- AI in Root Canal Morphology: A Detailed Bibliometric Analysis of Research Trends and Global Contributions.Clinical and experimental dental research · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial Intelligence (AI) has emerged as a transformative tool in various scientific disciplines.
objectiveThe study aims to provide a comprehensive bibliometric analysis of the literature on AI and root canal morphology, examining publication trends, author contributions, and thematic focus areas.
methodsData were retrieved from the Scopus database using the search string "Artificial Intelligence" OR "AI" AND "Root" OR "Root canal morphology," covering publications from 1997 to 2024. Only articles and reviews were included. Vosviewer software was employed to visualize co-authorship networks and perform co-word analysis.
resultsThe analysis encompassed 81 papers, 433 authors, and 274 departmental contributions across 31 countries. The documents were published in 52 journals. The analysis revealed a global collaboration network with significant contributions from diverse institutions and countries. By co-word analysis, the focus of the 81 papers is categorized into 25 distinct research areas. The thematic analysis identified key research areas and emerging trends within the literature. The findings highlight AI applications' increasing interest and interdisciplinary nature in root canal morphology research.
conclusionThis study provides a detailed overview of the research landscape concerning AI and root canal morphology. It identified leading contributors and institutions and presented a structured view of research themes.
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.