Purpose: Compare accuracy and precision in XYZ of stationary and dynamic tasks performed by surgeons with and without the use of a tele-operated robotic micromanipulator in a simulated vitreoretinal environment. The tasks were performed using a surgical microscope or while observing a video monitor. Method: Two experienced and two novice surgeons performed tracking and static tasks at a fixed depth with hand-held instruments on a Preceyes Surgical System R0.4. Visualization was through a standard microscope or a video display. The distances between the instrument tip and the targets (in μm) determined tracking errors in accuracy and precision. Results: Using a microscope, dynamic or static accuracy and precision in XY (planar) movements were similar among test subjects. In Z (depth) movements, experience lead to more precision in both dynamic and static tasks (dynamic 35 ± 14 versus 60 ± 37 μm; static 27 ± 8 versus 36 ± 10 μm), and more accuracy in dynamic tasks (58 ± 35 versus 109 ± 79 μm). Robotic assistance improved both precision and accuracy in Z (1–3 ± 1 μm) in both groups. Using a video screen in combination with robotic assistance improved all performance measurements and reduced any differences due to experience. Conclusions: Robotics increases precision and accuracy, with greater benefit observed in less experienced surgeons. However, human control was a limiting factor in the achieved improvement. A major limitation was visualization of the target surface, in particular in depth. To maximize the benefit of robotic assistance, visualization must be optimized.


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    Titel :

    Human/robotic interaction: vision limits performance in simulated vitreoretinal surgery


    Beteiligte:
    de Smet MD (Autor:in) / de Jonge N (Autor:in) / Iannetta D (Autor:in) / Faridpooya K (Autor:in) / van Oosterhout E (Autor:in) / Naus G (Autor:in) / Meenink TCM (Autor:in) / Mura M (Autor:in) / Beelen MJ (Autor:in) / de Smet, Md

    Erscheinungsdatum :

    2019-01-01



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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