Trends and Current Topics in Artificial Intelligence in Nursing Research: A Bibliometric Analysis and Science Mapping

Abstract

Objective: As AI's role in nursing grows, it is vital to understand its impact and challenges. Using bibliometric analysis, this study aimed to identify and examine the prevailing trends and current topics in artificial intelligence research within nursing. Materials and Methods: This was a retrospective bibliometric study. Study data were collected from WoSCC on August 08, 2023. Analyses were made through science mapping, Microsoft Excel, and VOSviewer. Results: The study included 316 publications dated 1984-2023. There was a rapid increase in publications and citations from 2018-2023. Related publications were made by 1148 authors. The journal "CIN-Computers, Informatics, Nursing" emerged as the most frequently published and cited journal. Fifty-three countries contributed to the publications, of which 45.2% were produced in the USA. The current topics were patient safety, depression, ChatGPT, and Chatbot in recent years. Conclusion: This bibliometric study shows a synergy between the general policies of countries on artificial Intelligence in recent years and the increasing number of publications in the last four years. However, this study also reveals that research on artificial intelligence in nursing is a nascent field. Managers and research nurses should lead the use of AI applications in nursing services management and nursing training and should encourage research on the topic. Key Words: Artificial Intelligence, Nursing, Bibliometric Analysis, Research Trends, VOSviewer