首页|Sichuan University Reports Findings in Liver Surgery (Trend of robot-assisted su rgery system in gastrointestinal and liver surgery: A bibliometric analysis)

Sichuan University Reports Findings in Liver Surgery (Trend of robot-assisted su rgery system in gastrointestinal and liver surgery: A bibliometric analysis)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Liver Surger y is the subject of a report. According to news reporting out of Chengdu, People ’s Republic of China, by NewsRx editors, research stated, “Robot-assisted gastro intestinal and liver surgery has been an important development direction in the field of surgery in recent years and it is also one of the fastest developing an d most concerning fields in surgical operations. To illustrate the major areas o f research and forward-looking directions over the past twenty-six years.” Our news journalists obtained a quote from the research from Sichuan University, “Using the Web of Science Core Collection database, a comprehensive review of s cholarly articles pertaining to robot-assisted gastrointestinal and liver surger y was researched out between 2000 and 2023. We used Citespace (Version 6.2.4) an d Bibliometrix package (Version 4.3.0) to visualize the analysis of all publicat ions including country, institutional affiliations, authors, and keywords. In to tal, 346 articles were retrieved. had with the largest number of publications an d was cited in this field. The United States was a core research country in this field. Yonsei University was the most productive institution. The current focus of this field is on rectal surgery, long-term prognosis, perioperative manageme nt, previous surgical experience, and the learning curve. The scientific interes t in robot-assisted gastrointestinal and liver surgery has experienced a signifi cant rise since 1997.”

ChengduPeople’s Republic of ChinaAsi aEmerging TechnologiesGastroenterologyHealth and MedicineHepatologyLiv er SurgeryMachine LearningRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.15)