Robotics & Machine Learning Daily News2024,Issue(Jun.7) :107-107.

Amsterdam University Medical Center Reports Findings in Robotics (Training in ro botic-assisted surgery: a systematic review of training modalities and objective and subjective assessment methods)

阿姆斯特丹大学医学中心报告机器人学的研究结果(RO机器人辅助手术的培训:培训模式和客观和主观评估方法的系统回顾)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :107-107.

Amsterdam University Medical Center Reports Findings in Robotics (Training in ro botic-assisted surgery: a systematic review of training modalities and objective and subjective assessment methods)

阿姆斯特丹大学医学中心报告机器人学的研究结果(RO机器人辅助手术的培训:培训模式和客观和主观评估方法的系统回顾)

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摘要

由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器人的新研究是一份报告的主旨。根据NewsR X记者在荷兰阿姆斯特丹的新闻报道,研究表明,"机器人外科培训中的机器人外科系统、培训模式和评估工具的多样性是广泛的。本系统综述旨在全面概述罗布外科教学和评估外科技能的不同培训模式和评估方法,重点是比较客观和主观评估方法。"新闻记者从阿姆斯特丹大学医学中心获得了这项研究的一句话:“在PRISMA GUI Delines之后进行了系统回顾。从一开始到2022年2月1日,对电子数据库Pubmed、EMBASE和Cochrane进行了搜索。纳入的研究包括机器人辅助ED手术培训(例如,箱式培训、虚拟现实培训、虚拟现实培训。”尸体训练和动物组织训练)采用评估方法(客观或主观),如评估表、虚拟现实评分、对等反馈或时间记录。搜索确定了1591项研究。经过抽象筛选和全文检查,确定了209项研究,重点是机器人外科训练并包括评估工具。大多数研究使用达芬奇手术系统,最常用的评估方法包括模拟评分系统(如dVSS评分)、D评估表(如dVSS评分表)、D评估表(如dVSS评分表)。本系统回顾提供了机器人辅助外科医生Y的培训模式和评估方法的概述。达芬奇手术系统的干式实验室培训和达芬奇技能模拟器的培训是主要的方法。然而,尽管缺乏触觉反馈,但缺乏关于T问题处理、操作和力量互动的集中培训。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting from Amsterdam, Netherlands, by NewsR x journalists, research stated, “The variety of robotic surgery systems, trainin g modalities, and assessment tools within robotic surgery training is extensive. This systematic review aimed to comprehensively overview different training mod alities and assessment methods for teaching and assessing surgical skills in rob otic surgery, with a specific focus on comparing objective and subjective assess ment methods.” The news correspondents obtained a quote from the research from Amsterdam Univer sity Medical Center, “A systematic review was conducted following the PRISMA gui delines. The electronic databases Pubmed, EMBASE, and Cochrane were searched fro m inception until February 1, 2022. Included studies consisted of robotic-assist ed surgery training (e.g., box training, virtual reality training, cadaver train ing and animal tissue training) with an assessment method (objective or subjecti ve), such as assessment forms, virtual reality scores, peer-to-peer feedback or time recording. The search identified 1591 studies. After abstract screening and full-texts examination, 209 studies were identified that focused on robotic sur gery training and included an assessment tool. The majority of the studies utili zed the da Vinci Surgical System, with dry lab training being the most common ap proach, followed by the da Vinci Surgical Skills Simulator. The most frequently used assessment methods included simulator scoring system (e.g., dVSS score), an d assessment forms (e.g., GEARS and OSATS). This systematic review provides an o verview of training modalities and assessment methods in robotic-assisted surger y. Dry lab training on the da Vinci Surgical System and training on the da Vinci Skills Simulator are the predominant approaches. However, focused training on t issue handling, manipulation, and force interaction is lacking, despite the abse nce of haptic feedback.”

Key words

Amsterdam/Netherlands/Europe/Emerging Technologies/Health and Medicine/Machine Learning/Robotics/Robots/Surgery

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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