Bibliometric analysis of global research dynamics in robot-assisted hysterectomy over the past 20 years.

Compared to open or conventional laparoscopic operations, surgical robots can improve surgical control and precision, which might improve patient outcomes. Nevertheless, a thorough quantitative investigation of their precise influence on hysterectomy has not yet been carried out. The objective of this research is to assess the body of literature on robot-assisted hysterectomy from 2005 to 2025, identifying key trends and research hotspots to guide future research directions. Using information from the Web of Science database, the research performed a bibliometric analysis of publications pertaining to robot-assisted hysterectomy that were published between 2005 and 2025. Keyword clustering and study subjects were analyzed using R software and VOS viewer, exposing patterns and new areas in the area. Two hundred and seventy-five researches on robotic-assisted hysterectomy were encompassed in the investigation. Research in the area has demonstrated a global growing trend in recent years. The number of articles rose rapidly between 2009 and 2015 after being very low between 2005 and 2008. The quantity of publications has varied somewhat between 2016 and 2024, although it has mostly stayed at a high level. The US is the leading country in publications, followed by China, Japan, South Korea, as well as Italy. The United States has a larger network of foreign partners and leads in publishing. The two most published and referenced journals are Gynecologic Oncology and the Journal of Robotic Surgery. The clinical use of robotically assisted hysterectomy is the primary focus of current research hotspots. The economic analysis of robotic surgery is also an important research direction, and the transformation of robotic-assisted hysterectomy into a day surgery model is gradually becoming a significant research area. Surgical robots are a valuable tool for hysterectomy because of their benefits in minimizing blood loss, lowering hospital stays, and speeding up recovery. The study offers useful references for upcoming clinical practice and research by methodically examining the state of robot-assisted hysterectomy as well as research hotspots.