ArticleHealth science reports2025
Nursing Students' Perspectives on Integrating Artificial Intelligence Into Clinical Practice and Training: A Qualitative Descriptive Study.
Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.
What it found
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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.
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Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Reimagining nursing practice in the era of AI: a qualitative systematic review and meta-synthesis of nurses' lived experiences.Journal of health, population, and nutrition · 2026Pooled it
- Stakeholder experience with artificial intelligence in healthcare: a bibliometric study of satisfaction, trust, acceptance, and patient engagement.Frontiers in digital health · 2026Pooled it
- AI literacy and competency in nursing education: preparing students and faculty members for an AI-enabled future-a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Nursing students' readiness for and acceptance of artificial intelligence technologies in clinical skills training: A cross-sectional study.International journal of nursing studies advances · 2026Article
- AI Use, Perceptions, and Perceived Impact Among Nursing Students: Cross-Sectional Study.JMIR nursing · 2026Article
- AI-Based Learning Experiences of Nursing Students: A Qualitative Study.Journal of evaluation in clinical practice · 2026Article
- Knowledge, Attitude, Benefits, Risks, Barriers, Professional Impact, and Preparedness of Nursing Students Toward the Utilization of Artificial Intelligence in Healthcare.Nursing reports (Pavia, Italy) · 2026Article
- The cognitive and ethical crossroads: a qualitative study of academic integrity, emotional landscapes, and generative AI integration in nursing education.BMC nursing · 2026Article
- Nursing Students' Experiences With Artificial Intelligence: A Qualitative Study on Education, Clinical Practice, and Future Expectations.Journal of evaluation in clinical practice · 2026Article
- Artificial intelligence readiness and its influencing factors among newly qualified nurses: a cross-sectional study.Frontiers in medicine · 2026Article
- Impact of AI Literacy on Well-Being Among Nursing Students-Mediating Roles of Empowerment and Anxiety: Cross-Sectional Study.JMIR nursing · 2025Article
- Nursing Students' Perception of and Readiness for Artificial Intelligence in Saudi Arabia.Nursing open · 2025Article
- The current status, knowledge, attitudes, and challenges of generative artificial intelligence use among undergraduate nursing students: a single-center cross-sectional survey of western China.Frontiers in public health · 2025Article
- Exploring the use and perceived impact of artificial intelligence in medical internship: a cross-sectional study of Palestinian doctors.Frontiers in artificial intelligence · 2025Article
- The strengths, weaknesses, opportunities, and threats of generative artificial intelligence: a qualitative study of undergraduate nursing students.Frontiers in public health · 2025Article
- Redesigning Nursing Curricula for Human-AI Collaboration Using a Fifth Industrial Revolution Framework: Discursive Paper.SAGE open nursingReview
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The integration of artificial intelligence (AI) into healthcare has introduced transformative tools to enhance clinical decision-making and streamline workflows. In nursing, a profession characterized by human-centric care, AI adoption offers both significant opportunities and notable challenges. However, the perspectives of nursing students, future professionals, on integrating AI into clinical practice and education remain underexplored. Aim: This study aimed to explore nursing students' perceptions of incorporating AI into their clinical training and professional practice, with a focus on identifying benefits, challenges, and potential areas for improvement. Methods: A qualitative descriptive design explored the experiences and attitudes of 25 nursing students from five colleges in Dhaka, Bangladesh. Participants were purposively sampled to ensure diverse educational and clinical backgrounds. Semi-structured interviews in Bangla, lasting 40-50 min, were audio-recorded, transcribed, and translated into English. Data were collected from May 8, 2024 to August 10, 2024. Data were analyzed using thematic analysis to identify patterns and themes. Credibility was ensured through member checking, dependability via an audit trail, and confirmability through peer debriefing. Data visualization tools were used to map thematic relationships effectively. Results: Thematic analysis revealed four major themes: (1) AI integration in nursing education, (2) ethical and professional concerns, (3) preparedness for AI-driven practice, and (4) AI's impact on nursing practice. Participants expressed both optimism about AI's potential to improve accuracy and efficiency and apprehension about their readiness to use AI effectively in practice. Conclusion: The findings underscore the need for comprehensive curriculum reforms that incorporate AI training, address ethical concerns, and emphasize the role of AI as a supportive tool rather than a replacement for human expertise. These insights provide a roadmap for integrating AI into nursing education while preserving the compassionate core of nursing practice.
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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.