A Bibliometric Analysis of Research on Artificial Intelligence in Veterinary Medicine

The use of artificial intelligence in veterinary sciences has placed studies on this subject in a significant position in the literature. The increasing number of studies using artificial intelligence algorithms in the current literature shows that knowledge discovery in this field is increasing rapidly. This study aims to provide a general map of the literature on the utilization of artificial intelligence in veterinary medicine science and identify its application areas using bibliometric analysis. Web of Science database was used to reveal the current literature about artificial intelligence in veterinary medicine. The data were analyzed using the “Bibliometrix” package in the R statistical programming language and the VOSviewer program. Various research elements, including journals, article-citation counts, authors, institutes, and countries, were examined using bibliometric metrics. The number of studies on artificial intelligence in veterinary medicine from increased dramatically since 2019. According to the findings, the most influential countries identified were the USA, China, and Türkiye. Animals and Preventive Veterinary Medicine were determined as the most influential journals in the field. The findings indicated that artificial intelligence in veterinary medicine is a trending topic. The topics “deep learning”, “active learning”, and “computer-aided diagnosis” were estimated to be increasingly utilized soon. Rapid developments in artificial intelligence will likely attract more researchers to the field. This article, the first bibliometric study about the utilization of artificial intelligence in animal sciences, will offer researchers valuable information about the intellectual structure of the field.