ArticleBMC nursing2026
Attitudes toward artificial intelligence in nursing education, research, and clinical practice: a cross-sectional survey of Iranian faculty, nurses, and students.
Article in BMC nursing, 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence (AI) is rapidly transforming healthcare, offering opportunities to enhance accuracy, efficiency, and personalized care in nursing. However, successful integration depends on the attitudes and readiness of nursing professionals and students. Limited evidence exists on these perspectives in the Iranian context.
objectiveThis study aimed to assess the attitudes of Iranian nursing groups-including faculty members, clinical nurses, and nursing students-toward the functions of artificial intelligence in education, research, and clinical practice.
methodsA cross-sectional online survey was conducted in Iran in 2025. Data were collected using a researcher-developed, anonymous, 34-item questionnaire assessing attitudes across education, research, and clinical domains on a 5-point Likert scale. The questionnaire was distributed via email and social media networks. Of 300 distributed questionnaires, 161 valid responses were analyzed using descriptive and inferential statistics in SPSS version 25.
resultsThe mean total attitude score was 123.14 ± 16.38 (item mean 3.62/5), indicating moderate to good overall attitudes. Attitudes were more favorable in education (30.24 ± 4.91) and research (18.88 ± 2.63) than in clinical practice (73.99 ± 10.55). Faculty members (133.39 ± 13.86) and nursing students (127.68 ± 15.15) reported significantly higher scores than clinical nurses (116.25 ± 16.19) (p < 0.001). Female participants showed more positive attitudes than males (p = 0.01). No significant associations were found with age or work experience.
conclusionIranian nursing groups exhibit generally positive attitudes toward AI, with greater acceptance in educational and research domains compared to clinical applications. Targeted training programs, particularly for clinical nurses, and integration of AI concepts into nursing curricula are recommended to address gaps and promote effective adoption in Iran's healthcare system.
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.