ArticleDigital health
Artificial intelligence applications in knee osteoarthritis research: A bibliometric and visualized analysis.
Article in Digital health. 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Artificial intelligence (AI) has become a transformative tool in knee osteoarthritis (KOA) research, providing new opportunities for diagnosis, prognosis, disease monitoring, and personalized management. However, the development trajectory, collaboration patterns, and emerging hotspots of this field remain insufficiently mapped. This study aimed to provide a bibliometric and visualized analysis of AI applications in KOA research. Methods: Publications on AI applications in KOA from 2004-October 2025 were retrieved from the Web of Science Core Collection. Bibliometric indicators and collaboration networks, intellectual structure, and thematic evolution were analyzed using Bibliometrix, VOSviewer, CiteSpace, and Bibliometric.com. Results: A total of 663 publications were included in the final analysis, comprising 582 articles, 2 early access articles, 3 proceedings papers, and 76 reviews. The annual growth rate was 28.03%, indicating rapid expansion of the field. China led in publication output, while the United States ranked first in total citations and average citations. International collaboration exhibited a tripolar structure dominated by North America, Europe, and Asia, although cross-regional integration remained limited. Conclusion: AI-related KOA research has grown rapidly, evolving from methodological exploration toward clinical translation. Future studies should strengthen international collaboration, multicenter validation, and integration of AI into real-world KOA management.
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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.