Abstract：
Drug discovery is a complex and iterative process, making it ideal for using artificial intelligence (AI). This paper uses a bibliometric approach to reveal AI\'s trend and underlying structure in drug discovery (AIDD). A total of 4310 journal articles and reviews indexed in Scopus were analyzed, revealing that AIDD has been rapidly growing over the past two decades, with a significant increase after 2017. The United States, China, and the United Kingdom were the leading countries in research output, with academic institutions, particularly the Chinese Academy of Sciences and the University of Cambridge, being the most productive. In addition, industrial companies, including both pharmaceutical and high-tech ones, also made significant contributions. Additionally, this paper thoroughly discussed the evolution and research frontiers of AIDD, which were uncovered through co-occurrence analyses of keywords using VOSviewer. Our findings highlight that AIDD is an interdisciplinary and promising research field that has the potential to revolutionize drug discovery. The comprehensive overview provided here will be of significant interest to researchers, practitioners, and policy-makers in related fields. The results emphasize the need for continued investment and collaboration in AIDD to accelerate drug discovery, reduce costs, and improve patient outcomes.
摘要：
药物发现是一个复杂的迭代过程，使其成为使用人工智能(AI)的理想选择。本文使用文献计量学方法揭示了AI在药物发现（AIDD）中的趋势和潜在结构。共分析了Scopus索引的4310篇期刊文章和评论，揭示了AIDD在过去的二十年中一直在迅速增长，2017年后大幅增长。美国,中国,英国是研究产出的主要国家，与学术机构，特别是中国科学院和剑桥大学，成为最有生产力的。此外,工业公司,包括制药和高科技，也做出了重大贡献。此外,本文深入讨论了AIDD的演变和研究前沿，这是通过使用VOSviewer对关键词进行共现分析发现的。我们的发现强调，AIDD是一个跨学科和有前途的研究领域，有可能彻底改变药物发现。这里提供的全面概述将对研究人员产生重大兴趣，从业者,以及相关领域的政策制定者。结果强调需要在AIDD方面继续投资和合作，以加速药物发现，降低成本,改善患者预后。
