Bibliometric Analysis of Artificial Intelligence in Drug Development

New drug discovery is one of the most important and expensive activities in biomedical research, which is considered as one of the most basic activities in pharmaceutical science. In this regard, pharmaceutical informatics has focused on the drug development with higher quality and lower cost by combining artificial intelligence techniques and basic research of biological and chemical sciences. Considering the importance and capabilities of artificial intelligence in drug discovery, this study is presented with the aim of conducting a bibliometric analysis to identify related studies in this field. Hence, 1030 articles indexed in the WoS database including studies from 1991 to 2023, have been examined. The results show that the topics of artificial intelligence, machine learning, and deep learning were the most repeated keywords in the reviewed articles. In addition, United States of America, China, and India are the countries with the highest number of articles published in this research field, respectively. It was observed that researchers pay more attention to the fields of pharmacology pharmacy and Chemistry multidisciplinary. Also, results demonstrate drug development studies have often been focused on diseases of cancer and diabetic.