Artificial Intelligence in Nursing Care: A Systematic Literature Review and Bibliometric Analysis

Introduction: Numerous studies have investigated the application of Artificial Intelligence (AI) in healthcare. However, research specifically focusing on AI in nursing care remains relatively limited. This study addresses this gap by examining the development, distribution, and challenges of AI applications in nursing through a systematic literature review and bibliometric analysis. Methods: This study employed a systematic literature review combined with a bibliometric approach. A search in the Scopus database using combined synonyms and related terms with Boolean operators and truncations: (“artificial intelligence” OR “AI” OR “machine learning” OR “deep learning” OR “neural network*”) AND (“nursing care” OR “nursing practice” OR “clinical decision support” OR “nursing education” OR “patient care”) yielded publications up to September 9, 2025. After screening and applying the inclusion criteria, 60 eligible articles were included in the analysis. Bibliometric mapping with VOSviewer was used to identify research trends, publication patterns, collaborations, and key themes. Results: The findings indicate that AI research in nursing care is predominantly concentrated in developed countries, with limited contributions from developing regions. The main research themes include Clinical Decision Support Systems (CDSS), patient risk prediction, AI-based nursing education, and electronic documentation. Key challenges identified include ethical issues, digital literacy gaps, and trust between nurses and patients, all of which warrant further exploration in future studies. Conclusion: This study highlights the evolving role of AI in nursing care, emphasizing its potential to enhance clinical decision-making, improve patient safety, and support digital transformation. At the same time, it underscores the need for broader research coverage, particularly in developing countries, and greater attention to ethical and social dimensions to ensure equitable and responsible AI integration in nursing practice.