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Updated: Aug 4, 2025

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Reproducibility challenges in robotic surgery.

Angela Faragasso1, Fabio Bonsignorio2

  • 1The Service Robotics Laboratory, Department of Precision Engineering, School of Engineering, The University of Tokyo, Tokyo, Japan.

Frontiers in Robotics and AI
|April 3, 2023
PubMed
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Reproducibility is crucial for scientific progress but is lacking in surgical robotics research. This review analyzes 10 studies to identify challenges and propose solutions for more reliable and translatable research.

Area of Science:

  • Scientific research methodology
  • Robotics and artificial intelligence
  • Medical and surgical innovation

Background:

  • Reproducibility is fundamental to the scientific method, ensuring the validity of research findings.
  • A significant "reproducibility crisis" exists across many scientific fields, undermining trust and hindering progress.
  • Reproducibility is not yet a standard practice in artificial intelligence and robotics, including surgical robotics.

Purpose of the Study:

  • To analyze the clinical applicability of 10 selected surgical robotics manuscripts.
  • To identify and highlight the challenges related to the reproducibility of reported experiments in surgical robotics.
  • To propose solutions for improving research reproducibility and facilitating the translation of findings into real-world applications.

Main Methods:

Keywords:
experimental methodologymedical roboticsreproducibilityscientometricssurgical roboticstranslational medical robotics

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  • Review of 10 relevant published manuscripts in surgical robotics.
  • Analysis of experimental procedures and data analysis descriptions within selected studies.
  • Assessment of clinical applicability and reproducibility issues.

Main Results:

  • Many surgical robotics studies face challenges in reproducibility, hindering clinical translation.
  • Specific issues include inadequate procedural descriptions and data analysis methods.
  • Patenting, safety, and ethical considerations further complicate reproducibility in medical robotics.

Conclusions:

  • There is a critical need for enhanced tools and community efforts to improve reproducibility in surgical robotics research.
  • Addressing reproducibility challenges is essential for accelerating research progress and clinical adoption.
  • Developing standardized practices for reproducibility and benchmarking is key to advancing the field.