Literature DB >> 28666793

Gaze-based Technology as a Tool for Surgical Skills Assessment and Training in Urology.

Carolina Diaz-Piedra1, Jose M Sanchez-Carrion2, Héctor Rieiro3, Leandro L Di Stasi4.   

Abstract

OBJECTIVE: To assess the sensitivity of gaze-based metrics in detecting cognitive demands imposed by surgical procedures. We analyzed urologists' gaze entropy and velocity while performing 2 standardized high-fidelity simulated stone procedures with different levels of complexity.
METHODS: Using a wearable eye tracker device (mounted onto an eyeglass frame), we measured gaze entropy and velocity in 15 urologists, members of the Andalusian health-care system, while they performed an extraction of a stone in the bladder (low complexity) and an extraction of a stone in the lumbar ureter (high complexity). We also collected performance and subjective data.
RESULTS: Gaze entropy and velocity were significantly higher when surgeons performed the most complex surgical procedure: the visual exploration pattern became less stereotyped (ie, more random) and faster. Surgeons' performance and perceived task complexity differed accordingly, confirming the gaze-based results.
CONCLUSION: Gaze-based metrics might have great potential as objective and nonintrusive indices to assess surgeons' cognitive (over)load, potentially being a complementary assessment tool to quantify the learning curve for surgical procedures.
Copyright © 2017 Elsevier Inc. All rights reserved.

Mesh:

Year:  2017        PMID: 28666793     DOI: 10.1016/j.urology.2017.06.030

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  3 in total

1.  Intraocular pressure increases after complex simulated surgical procedures in residents: an experimental study.

Authors:  Jesús Vera; Carolina Diaz-Piedra; Raimundo Jiménez; Jose M Sanchez-Carrion; Leandro L Di Stasi
Journal:  Surg Endosc       Date:  2018-07-02       Impact factor: 4.584

2.  Computer Vision in the Operating Room: Opportunities and Caveats.

Authors:  Lauren R Kennedy-Metz; Pietro Mascagni; Antonio Torralba; Roger D Dias; Pietro Perona; Julie A Shah; Nicolas Padoy; Marco A Zenati
Journal:  IEEE Trans Med Robot Bionics       Date:  2020-11-24

3.  Measuring inter- and intra-individual differences in visual scan patterns in a driving simulator experiment using active information storage.

Authors:  Christiane B Wiebel-Herboth; Matti Krüger; Patricia Wollstadt
Journal:  PLoS One       Date:  2021-03-18       Impact factor: 3.240

  3 in total

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