Evidence map›Paper›PMID 34101012›Full record

ArticleSurgical endoscopy2021

An eye-tracking based robotic scrub nurse: proof of concept.

Ahmed Ezzat, Alexandros Kogkas, Josephine Holt, Rudrik Thakkar, Ara Darzi, George Mylonas

Abstract read
In one paragraph

Article in Surgical endoscopy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. The future of cataract surgery.Eye (London, England) · 2025
    Review
  5. HybGrip: a synergistic hybrid gripper for enhanced robotic surgical instrument grasping.International journal of computer assisted radiology and surgery · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ahmed EzzatHamlyn Centre for Robotic Surgery, Imperial College London, London, SW7 2AZ, UK. ae1119@ic.ac.uk.ORCID 0000-0002-9065-5179
Alexandros KogkasHamlyn Centre for Robotic Surgery, Imperial College London, London, SW7 2AZ, UK.
Josephine HoltUniversity College London, London, UK.
Rudrik ThakkarSt George's, University of London, London, UK.
Ara DarziHamlyn Centre for Robotic Surgery, Imperial College London, London, SW7 2AZ, UK.
George MylonasHamlyn Centre for Robotic Surgery, Imperial College London, London, SW7 2AZ, UK.

Funding

Department of Health
6 · The paper itself

Abstract

backgroundWithin surgery, assistive robotic devices (ARD) have reported improved patient outcomes. ARD can offer the surgical team a "third hand" to perform wider tasks and more degrees of motion in comparison with conventional laparoscopy. We test an eye-tracking based robotic scrub nurse (RSN) in a simulated operating room based on a novel real-time framework for theatre-wide 3D gaze localization in a mobile fashion.

methodsSurgeons performed segmental resection of pig colon and handsewn end-to-end anastomosis while wearing eye-tracking glasses (ETG) assisted by distributed RGB-D motion sensors. To select instruments, surgeons (ST) fixed their gaze on a screen, initiating the RSN to pick up and transfer the item. Comparison was made between the task with the assistance of a human scrub nurse (HSNt) versus the task with the assistance of robotic and human scrub nurse (R&HSNt). Task load (NASA-TLX), technology acceptance (Van der Laan's), metric data on performance and team communication were measured.

resultsOverall, 10 ST participated. NASA-TLX feedback for ST on HSNt vs R&HSNt usage revealed no significant difference in mental, physical or temporal demands and no change in task performance. ST reported significantly higher frustration score with R&HSNt. Van der Laan's scores showed positive usefulness and satisfaction scores in using the RSN. No significant difference in operating time was observed.

conclusionsWe report initial findings of our eye-tracking based RSN. This enables mobile, unrestricted hands-free human-robot interaction intra-operatively. Importantly, this platform is deemed non-inferior to HSNt and accepted by ST and HSN test users.

Indexed as

LaparoscopyRoboticsRobotic Surgical ProceduresAnimalsEye-Tracking TechnologySwineTask Performance and AnalysisAssistive robotic devicesEye-trackingGaze interactionsRobotic scrub nurseSmart operating roomSurgery

Identifiers

PMID34101012
PMCPMC8186017

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.