Artificial Intelligence in Health Tourism: A Bibliometric Analysis

This study aims to examine academic research conducted in the field of AI-supported health tourism using the bibliometric analysis method. By scanning the relevant literature indexed in the Web of Science (WoS) database, the distribution of publications over the years, active researchers, collaborations, prominent topics, and trends are analyzed. Academic publications on AI-supported health tourism have been indexed in the Web of Science database since 1990 and have shown a rapid increase, especially after 2019. The year 2024 is the year with the highest number of publications, reaching a peak with 50 studies. 207 studies were published in 177 different sources, and the annual average growth rate of the publications was determined to be 5.72%. A total of 1037 authors contributed to the studies, with an average co-author count of 5.22. The most prolific source is the Sensors journal, and among the most cited sources, Artificial Intelligence in Medicine stands out. The researchers with the most publications by country are from the USA, followed by China and Italy. According to the keyword analysis, the most frequently used words in the studies were artificial intelligence, system, model, internet, diagnosis, and wellness. The increase in studies related to artificial intelligence in the post-2019 period indicates that this technology has become a more prominent research topic in the field of health tourism and will receive more academic interest in the future.