AI in Root Canal Morphology: A Detailed Bibliometric Analysis of Research Trends and Global Contributions

ABSTRACT Background Artificial Intelligence (AI) has emerged as a transformative tool in various scientific disciplines. Objective The 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. Methods Data 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. Results The 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. Conclusion This 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.