Artificial intelligence in health: A bibliometric analysis

With the rapid development of technology, the concept of artificial intelligence in health has come to the agenda in order to analyze big data in health services accurately and quickly. Artificial intelligence has been integrated into healthcare services in various fields. The integration of artificial intelligence into healthcare services increases efficiency, reduces costs and optimizes workflows. In addition, by analyzing big data, it also helps to predict the process of diseases and to study treatment methods. This study presents a bibliometric analysis to see how AI technologies are transforming and shaping the healthcare field through research. From the Web of Science database, 752 academic publications published between 1987 and 2025 were examined and analyzed based on bibliometric results such as study year, author, journal, institution, country and keyword. As a result of the findings, it is seen that artificial intelligence has become a rapidly rising research theme in healthcare after 2018. The countries with the highest number of publications were identified as the USA and China. Keyword analysis shows that artificial intelligence studies have recently focused on areas such as health, ChatGPT and education. By showing the global xv dimension, collaborative networks and thematic orientations of AI research in health, it provides insights into trends and future research opportunities in the field. The findings serve as a guide for researchers.