Quantitative study assesses awareness and barriers to AI integration in nursing education, indicating challenges remain.
Artificial Intelligence (AI) is revolutionizing healthcare systems worldwide. However, its effective integration into nursing education, particularly in Low and Middle-Income Countries (LMICs), remains underexplored. Objective: To assess the readiness, awareness, and perceived barriers regarding AI integration among nursing students in Sindh using a structured quantitative approach. Methods: A descriptive cross-sectional study was conducted among 230 students using a stratified non-probability random sampling method. Data were collected via a validated Likert-scale questionnaire and analyzed using SPSS version 26.. Results: 90% of students reported conceptual awareness of AI, and 92% expressed excitement about using AI tools in nursing education. However, only 43% had formal AI training. Perceived barriers included data privacy concerns (86%), lack of infrastructure (77%), and fear of job displacement (71%). Conclusion: The study findings demonstrated that it is necessary to have a regular systematic AI-oriented training in the nursing curriculum to better equip students in working with a relevant technology.
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Ahmed et al. (2025) studied this question.
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