作者
Ashirwad Chowriappa, Syed Johar Raza, Anees Fazili, Erinn Field, Chelsea Malito, Dinesh Samarasekera, Yi Shi, Kamran Ahmed, Gregory Wilding, Jihad Kaouk, Daniel D Eun, Ahmed Ghazi, James O Peabody, Thenkurussi Kesavadas, James L Mohler, Khurshid A Guru
发表日期
2015/2
期刊
BJU international
卷号
115
期号
2
页码范围
336-345
简介
Objective
To validate robot‐assisted surgery skills acquisition using an augmented reality (AR)‐based module for urethrovesical anastomosis (UVA).
Methods
Participants at three institutions were randomised to a Hands‐on Surgical Training (HoST) technology group or a control group. The HoST group was given procedure‐based training for UVA within the haptic‐enabled AR‐based HoST environment. The control group did not receive any training. After completing the task, the control group was offered to cross over to the HoST group (cross‐over group). A questionnaire administered after HoST determined the feasibility and acceptability of the technology. Performance of UVA using an inanimate model on the daVinci Surgical System (Intuitive Surgical Inc., Sunnyvale, CA, USA) was assessed using a UVA evaluation score and a Global Evaluative Assessment of Robotic Skills (GEARS) score. Participants …
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A Chowriappa, SJ Raza, A Fazili, E Field, C Malito… - BJU international, 2015