KNOWLEDGE, ATTITUDE AND PRACTICE OF ARTIFICIAL INTELLIGENCE AMONG UNDERGRADUATE NURSING STUDENTS AT KARACHI

Abstract

Introduction/Background: The study was shown to assess the knowledge, attitude, and practice of artificial intelligence (AI) among undergraduate nursing students in Karachi, recognizing the growing role of AI in improving healthcare efficiency and decision-making. Method: A cross-sectional design was used, and data was collected from 195 BSN students across all four years at Jinnah College of Nursing and Ilmiya College of Nursing via structured questionnaire, with analysis performed in SPSS version 25. Results: The findings showed that although maximum students had a basic understanding of AI (80.5%), fewer demonstrated knowledge of machine learning and deep learning (46.7%) or AI applications in healthcare (47.7%). Male students exhibited higher knowledge levels than females. Attitudes toward AI were mostly positive, with over 81% agreeing that AI was essential in nursing practice, while opinions were mixed regarding whether AI possibly will replace nurses in the future. Only 41.5% had previously used AI tools, yet a majority (83.6%) expressed willingness to apply AI in their future practice. Conclusion: The study concluded that nursing students influenced limited detailed knowledge and minimal practical experience with AI despite showing favorable attitudes toward its use. It was suggested that nursing curricula be strengthened with AI-related content, supported by awareness programs and hands-on training, to better prepare future nurses for evolving technological advancements in healthcare