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Objective Assessment of Robotic Surgical Technical Skill: A Systematic Review

机译:机器人外科技术技能的客观评估:系统评价

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Purpose:Robotic surgeries, especially in urology, have grown exponentially during the last decade. Various skills assessment tools have been developed. We reviewed the current status, the current challenges and the future needs of robotic evaluations with a focus on urological applications.Materials and Methods:According to PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) criteria 2 paired investigators screened the PubMed (R), Scopus (R) and Web of Science (R) databases for all full text, English language articles published between 2006 and 2018 using the query (evaluation OR assessment) AND (robot-assisted surgery OR robotic surgery) AND (surgical performance OR surgical skill) AND training. The research design, validity and reliability of each study were ascertained and analyzed.Results:A total of 259 studies were identified, of which 109 were included in the final analysis. We grouped the studies into 2 categories, including manual and automated assessments. Manual evaluation included global skill, procedure specific and error based assessments. For automated assessment we summarized evaluations derived from robotic instrument kinematic tracking data, systems events and surgical video data, and we explored those associations with various domains by manual evaluation. We further reviewed the current progress in automated surgical segmentation and skill evaluation with machine learning and deep learning. Concerns remain regarding efficient and effective surgeon training and credentialing.Conclusions:No universally accepted robotic skills assessment currently exists. The purpose of assessment (training or credentialing) may dictate whether manual or automated surgeon assessment is more suitable. Moving forward, assessment tools must be objective and efficient to facilitate the training and credentialing of competent surgeons.
机译:目的:在过去十年中,机器人手术,特别是在泌尿外科,已经在过去十年中呈指数增长。已经开发了各种技能评估工具。我们审查了当前的地位,目前的挑战和机器人评估的未来需求,重点是泌尿理论。材料和方法:根据PRISMA(优选的系统审查报告项目和META分析)标准2配对调查人员筛选了PUBMED( R),Scopus(R)和Science(R)数据库,用于所有全文,2006年至2018年在2006年至2018年间使用查询(评估或评估)和(机器人辅助手术或机器人手术)和(手术表现或手术技能)和培训。确定和分析每项研究的研究设计,有效性和可靠性。结果:鉴定了总共259项研究,其中109项被列入最终分析。我们将研究分为2个类别,包括手动和自动评估。手动评估包括全球技能,程序具体和基于错误的评估。对于自动评估,我们总结了从机器人仪器运动跟踪数据,系统事件和外科视频数据的评估,我们通过手动评估探索了与各种域的关联。我们进一步审查了当前的自动外科细分和技能评估进展,并利用机器学习和深度学习。仍然有关有效且有效的外科医生培训和凭证的担忧。结论:目前没有普遍接受的机器人技能评估。评估的目的(培训或培训或凭证)可以决定是否有手动或自动外科医生评估更适合。向前迈进,评估工具必须客观和有效,以促进主管外科医生的培训和资本。

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