eng Science and Education Publishing American Journal of Nursing Research 2378-5586 2025-06-16 13 2 44 50 10.12691/ajnr-13-2-5 AJNR20251325 article Sakna Habobi 1 Amani Abualrahi rahia4@hotmail.com 2 Roqaia Bumarah 3 Shereen AlMatter 4 Shaima¡¯a Al-Sanona 5 Zainab Alabdrabalnabi 6 Farha Al-Khwaildi 7 Maryam Alalaq 8 Izdehar Alawami 9 Aqeelah Alyossuf 10 Director of Nursing, Central Division, Safwa, Saudi Ministry of Health, Saudi Arabia Nursing Department, Eastern Health Cluster, Saudi Ministry of Health, Saudi Arabia Clinical Nurse Educator, Saudi Ministry of Health, Ras-Tanura Hospital, Saudi Arabia Professional Development coordinator, Saudi Ministry of Health, Safwa, Saudi Arabia Nursing Manager of Professional Development, Central Division, Safwa General Hospital, Saudi Arabia. Nurse Education Coordinator, Saudi Ministry of Health, Safwa Hospital, Saudi Arabia Nursing Supervisor, Saudi Ministry of Health, Um-Alsahik, Saudi Arabia Nursing Department, Saudi Ministry of Health, Central Division, Saudi Arabia Nursing Department, CNE, Khobar Health Network, Saudi Ministry of Health, Saudi Arabia10Nursing Department, Saudi Ministry of Health, Central Division, Saudi Arabia 9Nursing Department, CNE, Khobar Health Network, Saudi Ministry of Health, Saudi Arabia10Nursing Department, Saudi Ministry of Health, Central Division, Saudi Arabia Background: AI is transforming nursing through predictive analytics and simulations, enhancing learning and care. Challenges include ethics, technical issues, and institutional resistance. Aim: This study explores how AI strengthens nursing education and clinical workflows, utilizing the SAMR Model. Method: A systematic integrative review (2018¨C2024) used CINAHL, Ovid Medline, and PubMed with PRISMA guidelines.Results: AI boosts learning via simulations and adaptive tools; clinically, it aids diagnosis and monitoring. SAMR shows AI¡¯s shift from basic tools to intelligent systems, though barriers like privacy and cost remain. Conclusion: AI aligns with healthcare goals like Saudi Vision 2030; success requires ethics, partnerships, and training https://pubs.sciepub.com/ajnr/13/2/5/ajnr-13-2-5.pdf Artificial Intelligence Nursing Education Clinical Practice SAMR Model Healthcare