ReviewCureus2025
Highly Cited Artificial Intelligence Research Studies Published in Neurosurgical Journals: A Bibliometric Analysis.
Review in Cureus, 2025. 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neurosurgery is inherently suited for artificial intelligence (AI) integration due to its reliance on advanced technologies. Although AI research is expanding in neurosurgery, citation patterns of impactful publications remain underexplored. We identified AI-focused articles published in neurosurgical journals (NSJs) with ≥100 citations using PubMed and Google Scholar. A total of 66 articles were analyzed. Data collected included article age, country of first author, journal, article type, subspecialty, AI technology used, and application. Citation analysis was performed using mean difference testing across subgroups. The median article age was 8.5 years (range: 1-30 years). Most articles originated from the United States (34, 52%) and were published in Neurosurgery (23, 35%). Technical notes (26, 39%) and review articles (23, 35%) were the dominant formats. General neurosurgery and spine were the leading subspecialties (each 21, 32%). AI technologies included virtual reality (VR) (19, 29%), machine learning (ML) (13, 20%), and augmented reality (10, 15%). The primary applications were surgical planning/assistance (33, 50%) and training (12, 18%). Median citations per article were 173 (range: 100-406). Higher citation rates correlated with review articles, recent publication (within 10 years), and a general neurosurgery focus. AI type and application had no significant impact on citation count. Highly cited AI research in neurosurgery predominantly originates from the United States, focuses on general neurosurgery and spine, and employs VR and ML for planning and training. Citation impact is driven more by study type and recency than by AI modality. Continued original research is vital to integrate AI advancements into standard neurosurgical practice.
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.