Artificial Intelligence (AI) in Maternal and Neonatal: Bibliometrics Analysis

Abstract

Background: Artificial intelligence (AI) is a branch of computer science that focuses on creating devices and models that replicate human insights. As the global community strives to ensure maternal and neonatal health and well-being, AI offers insights that can shape the future of maternal and neonatal healthcare and bring us closer to reviewing the current state of maternal and neonatal health with bibliometric analysis. Methods: This study aims to determine the citation trends, quantity of artificial intelligence articles in the maternal and neonatal field, and future directions for the research theme. This study uses the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) research method. The reviewed articles were analyzed using the VOS viewer application. Results: This study yielded the following findings. First, the number of publications and the number of citations on the topic of AI in maternal and neonatal has increased exponentially from year to year. Second, there are 104 items, 4 clusters on the topic of AI in maternal and neonatal. Third, the trend of research related to AI in maternal and neonatal focuses on infection, association, review, development. Fourth, research topics related to AI in maternal and neonatal suggested are topics that have a low density category, namely pandemic, artificial intelligence, parents and safety. Conclusion: The integration of AI holds immense potential to revolutionize maternal and neonatal health. Research findings can help related researchers to identify trends and novelties AI in maternal and neonatal and recommend directions for further research.