While AI-powered imaging dominates the research landscape, China’s leading publication volume signals a strategic pivot: the country is not just adopting AI in clinical dentistry but is shaping its foundational knowledge base, setting the stage for next-generation diagnostic tools.
Chinese scientists have published a comprehensive bibliometric analysis that maps the entire scientific landscape of artificial intelligence in endodontics, revealing a field that has exploded from near-inactivity before 2020 into a rapidly maturing research domain. The study, published in the International Endodontic Journal, analysed 245 articles indexed in major scientific databases, covering research from 1990 to August 2025. The results are striking: China accounts for the highest publication volume globally, though the United States exerts the greatest citation-weighted influence.
The analysis identified that the vast majority of AI research in endodontics is driven by deep learning applications in imaging, with periapical radiographs and cone-beam computed tomography serving as the most common data sources. Keyword co-occurrence analysis revealed six distinct thematic clusters, with radiographic diagnostics dominating the field. Notably, the research also detected the recent emergence of natural language processing and generative AI applications, signalling a potential broadening of methodological approaches. However, the researchers cautioned that the field currently suffers from limited methodological diversity, restricted use of explainable AI, and inconsistent adoption of reporting guidelines.
For global professionals, this analysis serves as both a roadmap and a warning. The rapid concentration of AI research in endodontics around imaging applications creates a powerful but narrow foundation. As China continues to lead in publication output, its influence on the direction of AI-driven dental diagnostics will only grow. The emergence of natural language processing as a new thematic cluster suggests that the next wave of innovation may extend far beyond image analysis, potentially transforming everything from clinical documentation to patient communication.
Why it matters:
This analysis provides the first structured overview of a rapidly expanding field where China’s research output is reshaping global priorities. For dental professionals, investors, and medical technology firms, understanding the current concentration of research in AI-driven imaging and the emerging interest in natural language processing offers strategic guidance on where the next breakthroughs in clinical dentistry are likely to occur.
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