Artificial intelligence in pediatric nursing and its education: A systematic review.

作者：A. Loutfy, Amina Elzeiny, M. Foster, S. Alkubati, A. Sarman, Suat Tuncay, M. Zoromba, A. El-Monshed, Ali A Elzieny, Hussein M. Magdi · 发表于：Journal of pediatric nursing · 年份：2026 · DOI：10.1016/j.pedn.2026.03.027 · 被引用次数：1 · 研究领域：Medicine

BACKGROUND Artificial intelligence (AI) transforms healthcare delivery by improving patient outcomes and operational efficiencies. In pediatric nursing, AI meets the unique needs of children through family-centered care approaches that leverage machine learning for predictive analytics and automated decision-making. PURPOSE To synthesize evidence on the applications, benefits, and challenges of AI in pediatric nursing and nursing education, including its impact on family-centered care, clinical outcomes, and educational proficiency. METHODS A comprehensive search was conducted across PubMed, Scopus, Web of Science, Embase, and CINAHL from 2000 to March 2025. The PRISMA flow diagram outlines the methodical selection procedure employed in this review. RESULTS Nine studies were identified involving 1508 participants, including pediatric nurses, healthcare providers, and nursing students. The review reveals significant enhancements in pediatric care quality through AI applications, notably parental engagement and wound healing. AI technologies, such as family-centered care systems and adaptive e-learning tools, improve healthcare providers' knowledge. Furthermore, AI-assisted educational resources, like ChatGPT and virtual counseling, enhance nursing students' critical thinking and communication skills. However, challenges related to ethics, data security, and the necessity for healthcare professionals to develop AI literacy remain. CONCLUSION While AI integration in pedi...