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Related Experiment Video

Updated: Feb 1, 2026

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
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Preliminary study on application of augmented reality visualization in robotic thyroid surgery.

Dongheon Lee1, Hyoun-Joong Kong2, Donguk Kim3

  • 1Interdisciplinary Program, Bioengineering Major, Graduate School, Seoul National University, Seoul, Korea.

Annals of Surgical Treatment and Research
|December 4, 2018
PubMed
Summary

Augmented reality (AR) models enhance robotic thyroidectomy safety by overlaying 3D organ images onto the surgical view. This technology improves visualization and may reduce complications in complex procedures.

Keywords:
Augmented realityComputed-assisted surgeryRobotic surgical proceduresThyroid neoplasmsThyroidectomy

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Area of Science:

  • Medical technology
  • Surgical innovation
  • Computer-assisted surgery

Background:

  • Robotic surgery offers precision but presents challenges like limited visualization and lack of tactile feedback.
  • These limitations are particularly difficult for surgeons new to robotic procedures, increasing complication risks.
  • Enhanced visualization tools are needed to improve safety and efficacy in robotic surgery.

Purpose of the Study:

  • To develop and evaluate an augmented reality (AR) model for improved visualization during robotic thyroidectomy.
  • To assess the accuracy and applicability of AR in overlaying critical anatomical structures onto the surgical field.
  • To enhance the safety and performance of surgeons performing robotic thyroidectomies.

Main Methods:

  • Created AR images of the thyroid gland, carotid arteries, trachea, and esophagus from patient CT scans.
  • Validated AR model accuracy by overlaying images on a 3D printed model, calculating Dice similarity coefficients.
  • Implemented AR image overlay onto real-time operative video during actual robotic thyroidectomy procedures.

Main Results:

  • The AR model demonstrated high accuracy, with Dice similarity coefficients ranging from 0.984 to 0.9908 (mean 0.987).
  • Successful real-time overlay of AR images onto the operative field was achieved throughout the robotic thyroidectomy using manual registration.
  • The system proved effective in integrating virtual anatomical information with the live surgical environment.

Conclusions:

  • Augmented reality (AR) can be effectively demonstrated and utilized in the operative field during robotic thyroidectomy.
  • While current limitations exist, advancing AR technology promises increased practicality and significant contributions to surgical safety.
  • AR integration holds potential to mitigate visualization challenges in robotic surgery, improving patient outcomes.