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Related Experiment Video

Updated: May 5, 2026

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Robotic-Assisted Surgery in Skull-Base Procedures: Advances, Applications, and Emerging Innovations.

Morad Faoury1, Parag Patel1

  • 1Department of Otorhinolaryngology - Head and Neck Surgery, St George's University Hospitals NHS Foundation Trust, London, United Kingdom.

International Archives of Otorhinolaryngology
|May 4, 2026
PubMed
Summary
This summary is machine-generated.

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Robotic-assisted surgery (RAS) offers enhanced precision and ergonomics for skull-base procedures. While effective, wider adoption of RAS requires addressing costs, training, and technological advancements.

Area of Science:

  • Neurosurgery and Otolaryngology
  • Medical Robotics
  • Surgical Innovation

Background:

  • Robotic-assisted surgery (RAS) is gaining traction in complex skull-base surgeries.
  • Its benefits include improved visualization, precision, and ergonomics in confined anatomical spaces.

Purpose of the Study:

  • To review the current applications and future potential of RAS in anterior and lateral skull-base surgery.
  • To explore the role of robotics in otolaryngology and neurosurgical skull-base interventions.

Main Methods:

  • A comprehensive narrative review of studies from the last two decades.
  • Databases searched include PubMed, Scopus, and Web of Science.
  • Keywords used: robotic skull-base surgery, transoral robotic surgery, robotics in otolaryngology.
Keywords:
artificial intelligenceminimally invasive surgical proceduresrobot-enhanced proceduresskull-base surgerytechnology

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Main Results:

  • Robotic platforms (e.g., da Vinci, KUKA) show efficacy in procedures like pituitary adenoma resection and sinonasal tumor removal.
  • Reported benefits include better access, reduced instrument collisions, tremor filtration, and improved surgeon ergonomics.
  • Outcomes are comparable or superior to traditional methods in select cases, despite challenges like cost and training.

Conclusions:

  • RAS provides significant clinical value in skull-base surgery, potentially improving outcomes and reducing surgeon fatigue.
  • Wider adoption hinges on cost reduction, accessible training, and technological progress.
  • Future innovations like AI integration and miniaturization may further enhance RAS utility in complex cases.