Robotics & Machine Learning Daily News2024,Issue(Oct.11) :32-33.

Copenhagen Academy for Medical Education and Simulation Reports Findings in Robo tics [3D monitors improve performance on the HUGO™ RAS system : a randomised trial]

Robotics & Machine Learning Daily News2024,Issue(Oct.11) :32-33.

Copenhagen Academy for Medical Education and Simulation Reports Findings in Robo tics [3D monitors improve performance on the HUGO™ RAS system : a randomised trial]

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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 report. According to news reporting originating from Copenhagen, Denmark, by NewsRx correspondents, research stated, “Robot-assisted surgery is used worl dwide, allowing surgeons to perform complex surgeries with increased precision a nd flexibility. It offers technical benefits compared to traditional laparoscopi c surgery due to its utilization of both 3D vision and articulated instruments.” Our news editors obtained a quote from the research from Copenhagen Academy for Medical Education and Simulation, “The objective was to investigate the isolated effect of 3D- versus 2D monitors when working with articulated instruments in r obot-assisted surgery. Surgical novices (medical students, n = 31) were randomiz ed to simulation-based training with either the 3D vision switched on or off. Bo th groups completed each of the four exercises six times over two sessions on th e Medtronic Hugo™ RAS system simulator. The outcome was the simulator performanc e parameters and a visual discomfort questionnaire. For the efficiency parameter s, we found that both groups improved over time (p <0.001) and that the intervention group (3D) consistently outperformed the control (2D) group (p <0.001). On the other hand, we didn’t find any s ignificant difference in the error metrics, such as drops (p-values between 0.07 and 0.57) and instrument collisions (p-values between 0.09 and 0.26). Regarding Visual Discomfort, it was significantly more difficult for the 3D group to focu s (p = 0.001).”

Key words

Copenhagen/Denmark/Europe/Emerging Te chnologies/Health and Medicine/Machine Learning/Robot/Robotics/Surgery

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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