ArticleNursing research and practice2026
Nursing Educators' Perceptions of AI in Research: Risks and Benefits.
Article in Nursing research and practice, 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.
- Nursing Educators' Perceptions of AI in Research: Risks and Benefits.Nursing research and practice · 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: The application of AI in nursing research is increasing, enhancing objectivity and productivity while raising concerns about liability and scientific integrity. Aim: To explore predictors and differences in nursing educators' perceptions of the risks and benefits of using AI in nursing research. Methods: A cross-sectional study surveyed 311 nursing educators from various universities. Results: 27% used ChatGPT, and 61.58% were from governmental universities. High perceived risks included liability ( Conclusions: Educators recognize both risks and benefits of AI in nursing research. Tailored training and institutional support are essential for responsible adoption. Tackling these issues can pave the way for nursing research to flourish in a rapidly changing digital world. Nursing educators need the tools they need to critically interact with AI in research. Reporting Method: The authors of this manuscript have adhered to the STrengthening the Reporting of OBservational Studies in Epidemiology (STROBE) checklist, which was used to guide the study. Patient or Public Contribution: There was no patient or public contribution, as the sample included nursing educators from two governmental universities and one private university.
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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.