Nursing students' trust in artificial intelligence (AI) clinical recommendations: A multicenter cross-sectional study of risk-benefit perceptions across Saudi Arabian universities
Mersal, Fathia Ahmed; Mersal, Nahed Ahmed; Ibrahim, Noha Mohammed; Elgazzar, Samia Eaid; Alanazi, Areej Musaad; Alzughaibi, Saleh; Alanazi, Eman M; Abbas Hassan Elsayed, Ebtesam;
Abstract
Artificial intelligence (AI) is increasingly embedded in clinical decision-making, making trust in AI-generated recommendations essential for safe and effective healthcare delivery. Nursing students, as future practitioners, are critical stakeholders in this transition; however, their trust in AI within rapidly digitizing educational and clinical contexts in Saudi Arabia remains underexplored, despite national digital health initiatives aligned with Vision 2030.
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| Title | Nursing students' trust in artificial intelligence (AI) clinical recommendations: A multicenter cross-sectional study of risk-benefit perceptions across Saudi Arabian universities | Authors | Mersal, Fathia Ahmed; Mersal, Nahed Ahmed; Ibrahim, Noha Mohammed; Elgazzar, Samia Eaid; Alanazi, Areej Musaad; Alzughaibi, Saleh; Alanazi, Eman M; Abbas Hassan Elsayed, Ebtesam | Keywords | AI literacy;Nursing students;artificial intelligence;clinical decision support systems;healthcare technology adoption;nursing education;perceived benefits;perceived risks;technology acceptance;trust in AI | Issue Date | 2026 | Journal | Digital health | ISSN | 2055-2076 | DOI | 10.1177/20552076261429671 | PubMed ID | 41783285 |
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