| dc.description.abstract | Although the application of artificial intelligence (AI) in medicine has been researched extensively, additional relevant comprehensive literature reviews are warranted. The objective of this study is to integrate network analysis and topic analysis to analyze the development trends in research regarding AI in the medicine domain. By using keyword-based search, all relevant articles published over 1963–2018 were collected from the Scopus database, and their author names, correspondence addresses, article titles, publishing years, keywords, citation count, themes, journal names, and publication and publisher information were extracted. The network analysis conducted in this study was based on co-occurrence, co-citation, and bibliographic coupling analysis and was demonstrated through network visualization. By determining the structure of and relationships between keywords, authors, and journal, cluster analysis was conducted, and the strength of associations was employed to evaluate the trend in the literature and define the research focal points. This study also employed topic modeling to discover hidden topic structures in document sets on the basis of the texts of the documents and to reveal all possible topics in a document set as well as the proportions of the topics of each document. First, In the co-occurrence and author keyword cluster analysis, the results revealed the development direction of association and methods. Second, regarding the co-citation cited authors network analysis, the results revealed the commonality of related research areas can be used as a reference learning cooperation for future researchers in this field. With respect to the co-citation cited sources network, the results revealed different journals have the same characteristics and are co-cited, which has the characteristics and progress of guiding the overall research in this field. In the bibliographic coupling cited sources network, the result revealed the publication trend of studies in the field of AI in medicine. Finally, this study employed topic modeling for topic analysis, the results revealed the methods and research field trends on 6 major topics can provide important references may serve for future research. | en_US |