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Usefulness of the BirdView™ in preventing devices from being lost visual field during robotic surgery using the Hugo™
Hiroyuki Egi1, Minoru Hattori2, Shinichiro Chino3
1Department of Surgery, Kitasato University Medical Center, 6-100 Arai, Kitamoto City, Saitama, 364-8501, Japan. egi.hiroyuki@kitasato-u.ac.jp.
Surgical Endoscopy
|September 3, 2025
Summary
BirdView™ significantly reduces robotic surgery recovery time after instrument displacement. This wide-view camera system enhances surgeon performance and safety, regardless of skill level.
Area of Science:
- Surgical Technology
- Medical Robotics
- Minimally Invasive Surgery
Background:
- Robotic surgery offers precision but lacks tactile feedback and has blind spots, potentially increasing organ damage risk.
- Existing robotic systems face challenges with instrument recovery and surgeon stress.
- BirdView™ is a novel wide-view camera system designed to address these limitations.
Purpose of the Study:
- To evaluate the effectiveness of the BirdView™ wide-view camera system in robotic surgery.
- To determine if BirdView™ improves task performance and reduces cognitive workload.
- To assess the system's impact on recovery time from simulated instrument displacement.
Main Methods:
- A prospective trial was conducted to assess BirdView™ performance.
- Task recovery time following simulated instrument displacement was measured.
- Surgical task performance and surgeon stress levels were evaluated.
Main Results:
- BirdView™ significantly reduced the median recovery time from instrument displacement (7.15 s vs. 10.30 s, p < 0.001).
- The system facilitated quicker operations and reduced surgeon stress.
- Effectiveness was demonstrated across all surgeon skill levels.
Conclusions:
- BirdView™ effectively mitigates disadvantages of robotic surgery, such as blind spots and instrument loss.
- The system enhances operational efficiency and surgeon well-being.
- BirdView™ shows promise for improving the safety and accessibility of robotic surgery, potentially overcoming specific challenges with systems like Hugo™ RAS.
