首页|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)
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)
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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.”
AmsterdamNetherlandsEuropeEmerging TechnologiesHealth and MedicineMachine LearningRoboticsRobotsSurgery
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