Artificial intelligence and colorectal surgery: A network analysis of the top 100 most-cited articles

Abstract

Recent advances in artificial intelligence (AI) are reshaping the colorectal surgery workflow and research. This study analyzes the 100 most-cited articles on AI in colorectal surgery, highlighting research trends and guiding future studies. We used the Web of Science Core Collection (WSCC) database to conduct a retrospective search for the top 100 most-cited articles based on a predefined search query. Data were extracted and analyzed using Microsoft Excel, with visualizations created in R (R Core Team, 2013) utilizing the ggplot2 and Bibliometrix packages. Our analysis revealed that the top 100 most-cited articles on AI in colorectal surgery were published between 2006 and 2023, with citation counts ranging from 29 to 352, totaling 6962 citations (an average of 69.62 ± 6.29 citations per article). Notably, 78 of these articles were published in the last 5 years (2019–2023).Based on the country and institution affiliations of the authors, the United States led in publications (n = 157), whereas the University of Ulsan was the most productive institution (n = 16). Yuichi Mori emerged as the most prolific author, contributing 5 articles to the top 100. Scientific Reports was the leading journal, publishing 5 of the top 100 cited articles. Keyword co-occurrence analysis identified 3 main clusters centered around “classification,” “colorectal cancer,” and “survival,” indicating these as prominent and emerging research areas in the field. This study analyzed the top 100 most-cited AI studies in colorectal surgery, identifying key authors, collaborations, institutions, and journals. Keyword analysis highlighted research hotspots and emerging trends.

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