Background: Robot-assisted surgery is a growing field. Prior video game experience might give advantage to novice robotic surgeons. Aim: Assessing if prior video gaming experience gives advantage in performing high-fidelity virtual reality (VR)-simulated robotic surgery. Methods: In this observational study, 30 medical students and 2 interns (17 females; 15 males) with median age 25 years (range, 24-26 years) were recruited and subsequently divided into groups according to prior gaming experience; gamers (≥6 video game hours/week) vs nongamers (<6 video game hours/week). Participants performed VR-simulated urethrovesical anastomosis on RobotiX Mentor, which measured performance parameters. Participants answered a questionnaire for demographics and gaming experience. Groups were compared using Mann-Whitney U and multiple regression. Results: Gamers significantly outperformed nongamers in 3 of 24 performance metrics ( p<0.05), and there was a trend toward better results for 7 of the 21 remaining metrics. Males outperformed females in 5 of 24 metrics ( p<0.05) but were overrepresented among gamers. Conclusion: Prior video game experience >6 hrs/week might give advantage in simulated robotic surgery. We recommend future studies testing this hypothesis to develop simulator programs for certification of robotic surgeons.


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    Title :

    A prospective study of the effect of video games on robotic surgery skills using the high-fidelity virtual reality RobotiX simulator


    Contributors:
    Hvolbek, A. P. (author) / Nilsson, P. M. (author) / Sanguedolce, F. (author) / L, Lund (author)

    Publication date :

    2019-08-14


    Remarks:

    Hvolbek , A P , Nilsson , P M , Sanguedolce , F & L , L 2019 , ' A prospective study of the effect of video games on robotic surgery skills using the high-fidelity virtual reality RobotiX simulator ' , Advances in Medical Education and Practice , vol. 10 , pp. 627-634 . https://doi.org/10.2147/AMEP.S199323



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



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