Bibliometric analysis on current trends of artificial intelligence application in Urology and the top 100 cited articles

Abstract

Objective: The application of artificial intelligence (AI) in surgery has been an expanding discipline. We performed bibliometric analyses to characterise the current trends in AI application in Urology, with a sub-analysis of the top 100 cited articles. Methods: Clarivate Web of Science and MEDLINE databases were used to search for current literature on AI application in Urology between 1987 and 2024. Clarivate InCites and VOS viewer were used for bibliometric analysis, while CiteSpace VI was used for citation burst and mapping. Top 100 cited articles were evaluated and rated against Oxford Centre Evidence-Based Medicine level of evidence (OCEBM). Results: There is increasing number of AI related urology articles published in the past decade. Within the field analysis ( n = 250) the average citation count was 15.18, the Journal of Urology ( n = 31, 12.4%) and United States ( n = 95, 38%) had the most publications for journals and country, respectively. The average citation count was 31.65, 39% were related to prostate cancer and 50% were related to AI usage in disease diagnosis/detection, and 70% were OCEBM level V. Journal of Urology and United States remains to be the most productive journal and country, respectively. Conclusion: This study highlighted rapid and emerging application of AI in Urology in the past decades. Level of Evidence: Not applicable.

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