2017
DOI: 10.1049/htl.2017.0062
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Quantifying attention shifts in augmented reality image‐guided neurosurgery

Abstract: Image-guided surgery (IGS) has allowed for more minimally invasive procedures, leading to better patient outcomes, reduced risk of infection, less pain, shorter hospital stays and faster recoveries. One drawback that has emerged with IGS is that the surgeon must shift their attention from the patient to the monitor for guidance. Yet both cognitive and motor tasks are negatively affected with attention shifts. Augmented reality (AR), which merges the realworld surgical scene with preoperative virtual patient im… Show more

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Cited by 78 publications
(56 citation statements)
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“… 2016 , Léger et al. 2017 ). The amount of information is controlled in real time by the surgeon, so that the cognitive load is tolerable.…”
Section: Discussionmentioning
confidence: 99%
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“… 2016 , Léger et al. 2017 ). The amount of information is controlled in real time by the surgeon, so that the cognitive load is tolerable.…”
Section: Discussionmentioning
confidence: 99%
“…This provides a gain in accuracy and safety in the procedurem which finally might result in time-saving and correct positioning of the implant (Léger et al. 2017 , Vávra et al. 2017 ).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Similar approaches are known, the ARSys Tricorder [4], or the Probaris system [5], none of which have found widespread use in daily surgical routine, presumably due to the additional constraints introduced to surgical workflow (e.g., eye calibration or wearing AR glasses intraoperatively). When considering attention shift [6,7] and depth-perception [8], Spatial AR systems have an advantage over conventional displays or seethrough AR systems [9][10][11]. More recently, microscope and instrument-mounted projectors have been used to provide spatial augmented reality guidance with image projection [12][13][14], or instrument-mounted displays [15] to ease instrument alignment.…”
Section: Introductionmentioning
confidence: 99%
“…Types of usability metrics category. 13,15,16,18,19,22,25-27,31-35,37,40,41,43,49-59,61,62,64-77,80,81,83] Combination of Both 20[14,17,20,21,23,24,29,38,39,42,[44][45][46][47][48]60,63,78,79,82] …”
mentioning
confidence: 99%