Background：Artificial intelligence (AI) has a big impact on healthcare now and in the future. Nurses, representing the largest proportion of healthcare workers, are set to benefit greatly from this technology. AI-Enabled Clinical Decision Support Systems has received a great deal of attention recently. Bibliometric analysis can offer an objective, systematic, and comprehensive analysis of specific field with a vast background. However, no bibliometric analysis has investigated AI-Enabled Clinical Decision Support Systems research in Nursing.Objective:To determine the characteristics of articles about the global performance and development of AI-Enabled Clinical Decision Support Systems research in Nursing.Methods: In this study, the bibliometric approach was used to estimate the searched data on Clinical Decision Support Systems research in Nursing from 2009 to 2022, and we also utilized CiteSpace and VOSviewer software to build visualizing maps to assess the contribution of different journals, authors, et al, as well as to identify research hot spots and promising future trends in this research field.Result:From 2009 to 2022, a total of 2159 publications were retrieved. The number of publications and citations on AI-Enabled Clinical Decision Support Systems research in Nursing has increased obviously in the last years. However, They are understudied in the field of nursing and there is a compelling need to development more more high-quality research. Conclusion: AI-Enabled Nursing Decision Support System use in clinical practice is still in its early stages. These analyses and results hope to provide useful information and references for future research directions for researchers and nursing practitioners who use AI-Enabled Clinical Decision Support Systems.