, Sakna Habobi2, Shereen Almutar3, Farha Al-Khwaildi4, Maryam Alalq1, Rouqayah bomurah5, Zainab Abdrabalnabi6, Eman Al-habib7, Fatimah Al-Mahdi7, Fatimah Al-Sadah71Nursing Department, Saudi Ministry of Health, Central Division, Saudi Arabia
2Director of Nursing, Central Division, Safwa, Saudi Arabia
3Professional Development coordinator, Saudi Ministry of Health, Safwa, Saudi Arabia
4Nursing Supervisor, Saudi Ministry of Health, Um-Alsahik, Saudi Arabia
5Clinical Nurse Educator, Saudi Ministry of Health, Ras-Tanura Hospital, Saudi Arabia
6Clinical Nurse Educator, Saudi Ministry of Health, Safwa Hospital, Saudi Arabia
7Nursing Department, Saudi Ministry of Health, Safwa, Saudi Arabia
Artificial intelligence is rapidly evolving field, particularly in nursing education, where it can enhance learning and clinical decision-making. This systematic review synthesized evidence from 441 studies identified through databases like CINAHL EBSCO, Ovid Medline, and PubMed, focusing on impactful research from 2019 to 2024. After screening and applying inclusion and exclusion criteria, 9 studies were included. Two main themes emerged: the advantages and opportunities AI presents in nursing education, and the disadvantages and challenges it poses. While AI holds transformative potential, its effective integration requires strong infrastructure, ethical considerations, and active student involvement. Additionally, a significant knowledge gap in AI among nurses was noted, highlighting the need for targeted educational programs to enhance AI understanding and competencies.
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