ArticleOrthopedic reviews2026
Artificial Intelligence in Orthopedics: Global Research Trends and Emerging Applications.
Article in Orthopedic reviews, 2026. 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Artificial intelligence (AI) has rapidly expanded across orthopedics, with applications spanning imaging analysis, preoperative planning, implant selection, outcome prediction, rehabilitation, and related clinical workflows. Despite rapid growth in the literature, the global research landscape remains incompletely characterized. Objectives: To characterize global research trends in AI applications in orthopedics, including publication growth, disciplinary distribution, authorship, journal patterns, geographic output, and thematic evolution. Methods: The Web of Science Core Collection was searched for publications indexed from 1997 through June 16, 2026 using terms related to artificial intelligence and orthopedics. A total of 2,351 records were analyzed. VOSviewer was used for co-authorship, keyword co-occurrence, and co-citation network mapping. Results: Publication output increased sharply after 2016, with 97.9% of publications appearing from 2017 through the partial 2026 period. Output reached 636 publications in 2025. Computer Science, Interdisciplinary Applications (36.7%) and Health Care Sciences & Services (22.2%) were the leading Web of Science categories, whereas Orthopedics (4.2%) and Surgery (4.3%) represented smaller shares. Chen Y was the most prolific author with 30 publications (1.3%), and no single journal accounted for more than 1.8% of publications. Japan (33.1%) and South Korea (18.3%) led national output. Keyword mapping demonstrated three co-dominant hubs centered on artificial intelligence, machine learning, and deep learning, while co-citation analysis identified foundational clusters rooted largely in computer science methodology. Conclusion: AI research in orthopedics has expanded rapidly and is increasingly interdisciplinary. The literature is broadly distributed across authors and journals, with no single dominant research group or publication venue. Emerging areas include large language models.
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.