ArticleFrontiers in surgery2026
Bibliometric mapping of artificial intelligence research in surgical education (1997-2025).
Article in Frontiers in surgery, 2026. 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.
- Transforming Nanomaterials Development with Artificial Intelligence Techniques.Nanotechnology, science and applications · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Artificial intelligence (AI) is rapidly transforming surgical education, yet comprehensive analysis of research trends in this field remains limited. Methods: We analyzed publications from the Web of Science Core Collection using "surgery" AND "education" AND "artificial intelligence" as search terms (1997-2025). Bibliometric indicators were analyzed using the bibliometrix package in R. Results: We identified 572 publications by 3,228 authors across 332 journals, with an 18.39% annual growth rate. The United States and United Kingdom led research output, with Harvard University as the top contributing institution. "Augmented reality", "video", and "performance" emerged as mature research themes (motor themes), while large language models represent recent emerging topics. International collaboration accounted for 25.17% of publications, predominantly among developed nations. Citation analysis revealed human-robot interaction and AI-based simulation training as the most influential research topics. Conclusions: AI research in surgical education shows rapid growth but significant geographic disparities exist. Future efforts should focus on developing personalized learning systems and addressing the global digital divide in AI-enhanced surgical education.
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.