ArticleBMC medical education2026
Attitudes and readiness of nursing students practising in surgical units towards artificial intelligence: a cross-sectional study.
Article in BMC medical education, 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
2 authors.
Funding
Abstract
backgroundIn surgical fields at the forefront of technological advancement with both virtual and physical artificial intelligence applications, nurses and nursing students should increase their positive attitudes toward artificial intelligence and demonstrate that they are ready to use it.
methodsThis study aims to examine the attitudes and readiness of nursing students practising in surgical units toward artificial intelligence. This cross-sectional study was conducted on 178 nursing students in the Faculty of Nursing at a university during the spring semester of the 2023-2024 academic year. "The Student Sociodemographic and Descriptive Characteristics Form", "General Attitude towards Artificial Intelligence Scale", and the "Medical Artificial Intelligence Readiness Scale for Medical Students" were used to collect study data. In this regard, students' positive and negative attitudes toward artificial intelligence, as well as their readiness in terms of cognition, ability, vision, and ethics related to artificial intelligence, were evaluated.
resultsIn this study, the total mean score for positive attitudes on the General Attitude toward Artificial Intelligence Scale was 42.46±6.14, and for negative attitudes was 25.13±5.78. The total mean score on the Medical Artificial Intelligence Readiness Scale for Medical Students was 70.75±12, and the total mean scores of its factors were determined as 23.08±5.40 for cognition, 27.63±5.51 for ability, 9.68±2.07 for vision, and 10.35±2.40 for ethics.
conclusionsNursing students in surgical units showed generally positive attitudes toward artificial intelligence with moderate-to-high readiness, and greater positive attitudes were correlated with higher readiness. The study may help enhance nursing students' awareness and understanding of artificial intelligence.
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.