Evidence map›Paper›PMID 42684392›Full record

ArticleJMIR nursing2026

AI Use, Perceptions, and Perceived Impact Among Nursing Students: Cross-Sectional Study.

Ilda Taka, Elona Hasalla, Albana Sula, Blerina Bahiti, Rajmonda Oboni, Blerina Bani

Abstract read
In one paragraph

Article in JMIR 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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ilda TakaDepartment of Medical Technical Specialties, Faculty of Medical Technical Sciences, University of Elbasan, 3 Dëshmorët Street, Tirana, Albania, +355 673119890.ORCID http://orcid.org/0009-0007-3804-0488
Elona Hasalla *Department of Paraclinical Subjects, Faculty of Medical Technical Sciences, University of Elbasan, Elbasan, Albania.ORCID http://orcid.org/0009-0008-1394-5608
Albana Sula *Department of Nursing, Faculty of Medical Technical Sciences, University of Elbasan, Elbasan, Albania.ORCID http://orcid.org/0009-0007-2541-3994
Blerina Bahiti *Department of Clinical Subjects, Faculty of Medical Technical Sciences, University of Elbasan, Elbasan, Albania.ORCID http://orcid.org/0009-0002-7987-1089
Rajmonda Oboni *Department of Nursing, Faculty of Medical Technical Sciences, University of Elbasan, Elbasan, Albania.ORCID http://orcid.org/0009-0005-6609-0146
Blerina Bani *Department of Paraclinical Subjects, Faculty of Medical Technical Sciences, University of Elbasan, Elbasan, Albania.ORCID http://orcid.org/0000-0001-6889-7449

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: AI is increasingly being integrated into education and health care, offering opportunities to improve learning, understanding of clinical cases, and students' self-confidence. However, it remains necessary to assess nursing students' perceptions of AI and its impact on their academic and professional development. Objective: The aim of the study was to assess AI use among nursing students, their perceptions of AI, and its impact on learning, academic performance, and professional preparation. Methods: A descriptive cross-sectional study with analytical components was conducted at the Faculty of Medical Technical Sciences in Elbasan, Albania. Data were collected through a structured questionnaire administered via Google Forms, which assessed AI use and its perceived impact on learning and professional preparation. Data were analyzed using SPSS (version 23.0). Descriptive statistics, chi-square tests for associations between variables ( Results: A total of 279 nursing students participated in the study (mean age 22.4, SD 5.7 years), the majority of whom were female (273/279, 97.8%), lived in urban areas (156/279, 55.9%), and were enrolled in the bachelor's program (198/279, 71%). Overall, 83.9% (234/279) reported using AI, mainly virtual assistants such as ChatGPT or similar tools (183/234, 78.2%). The most common reason was information searching (216/234, 92.3%), followed by studying and understanding lecture content (96/234, 41%). Bivariate analysis showed no significant associations between AI use and residence or study cycle, whereas grade point average (GPA) was significantly associated with AI use. In the multivariable analysis, GPA remained the only independent predictor of AI use. Students with a GPA of 6.0 to 6.9 (AOR 5.55, 95% CI 1.53-20.14; Conclusions: AI is widely used among nursing students, primarily supporting learning and academic performance. However, its impact on professional and interpersonal competencies remains limited. These findings suggest the need for integrating AI into nursing education curricula, with a focus on critical use and the development of students' professional competencies.

Indexed as

Artificial IntelligencePerceptionStudents, NursingAdultAlbaniaCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesYoung Adultartificial intelligenceimpactnursing educationnursing studentsperception

Identifiers

PMID42684392
PMCPMC13529259

What OpenQuestion holds

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Registered trials

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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.