Robotics & Machine Learning Daily News2024,Issue(Oct.15) :103-103.

Research from University of Ljubljana in the Area of Robotics Published [Intra-rater and inter-rater reliability of robotic arthrometer DYNEELAX®]

Robotics & Machine Learning Daily News2024,Issue(Oct.15) :103-103.

Research from University of Ljubljana in the Area of Robotics Published [Intra-rater and inter-rater reliability of robotic arthrometer DYNEELAX®]

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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 new report. According to news reporting out of the University of Ljubljan a by NewsRx editors, research stated, “ABSTRACT The purpose of our study was to test the intra-rater and inter-rater reliability of the DYNEELAX® arthrometer in healthy subjects.” The news editors obtained a quote from the research from University of Ljubljana : “Since rotational laxity will be measured for the first time in humans, indica tions for normative values will also be presented. Knee anterior laxity and rota tional laxity using a DYNEELAX® arthrometer were assessed in 73 subjects (39 fem ales and 34 males). An intraclass correlation coefficient was calculated to eval uate the intrarater and inter-rater reliability of the DYNEELAX®. An intraclass correlation coefficient for intra-rater reliability ranges from 0.631 (95% confidence interval; [CI]: 0.47-0.75) to 0 .699 (95% CI: 0.56-0.80) and from 0.916 (95% CI: 0.8 7-0.95) to 0.94 (95% CI: 0.91-0.96) for anterior knee laxity and r otational knee laxity, respectively. An intraclass correlation coefficient for i nter-rater reliability ranges from 0.578 (95 % CI: 0.40-0.71) to 0. 646 (95% CI: 0.44-0.78) and from 0.822 (95% CI: 0.57 -0.91) to 0.933 (95% CI: 0.89-0.96) for anterior knee laxity and r otational knee laxity, respectively.”

Key words

University of Ljubljana/Emerging Techno logies/Machine Learning/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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