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Emergency Undocking in Robotic Surgery: A Simulation Curriculum
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Simulation-based training in robotic surgery education: bibliometric analysis and visualization.

Siwei Chen1, Jingjuan Huang1, Lin Zhang1

  • 1Operating Room, The First Affiliated Hospital, Guangzhou Medical University, No 151, Yanjiangxi Rd, Guangdong, 510120, People's Republic of China.

Journal of Robotic Surgery
|August 17, 2024
PubMed
Summary
This summary is machine-generated.

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This bibliometric analysis reveals key trends in simulation-based robotic surgery training. Research highlights virtual reality, curriculum development, and assessment as crucial for surgical education and the learning curve.

Area of Science:

  • Medical Education
  • Surgical Technology
  • Bibliometrics

Background:

  • Simulation-based training offers a controlled environment for surgeons to develop operative skills.
  • Robotic surgery necessitates specialized training to ensure proficiency and patient safety.

Purpose of the Study:

  • To conduct a bibliometric analysis of simulation-based training in robotic surgical education.
  • To identify trends, key contributors, and research hotspots in this field.

Main Methods:

  • A comprehensive literature search was performed on the Web of Science Core Collection up to April 25, 2024.
  • Bibliometric data, including publication trends, co-authorship, and keyword co-occurrence, were analyzed using Microsoft Excel, VOSviewer, and SCImago Graphica.
Keywords:
BibliometricRoboticsSimulationTrainingVisualization

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Main Results:

  • A total of 594 papers were analyzed, with the United States and United Kingdom as leading contributors.
  • Professor Ahmed Kamran and Prokar Dasgupta were the most prolific authors. "Surgical Endoscopy and Other Interventional Techniques" published the most papers.
  • Key research terms included "virtual reality," "curriculum," "robotic surgery simulator," "assessment," and "learning curve."

Conclusions:

  • This study provides a comprehensive overview of global research on simulation-based robotic surgical training.
  • It identifies current knowledge, research frontiers, and future directions for enhancing surgical education through simulation.