By a News Reporter-Staff News Editor at Robotics & Machine Learning -- Researchers detail new data in Clinical Research. According to news originating from Hiroshima, Japan, by VerticalNews correspondents, research stated, "The aim of this study was to determine whether any correlation exists between the performance of the Mimic® dV-Trainer (Mimic Technologies, Seattle, Wash., USA) and the da Vinci Surgical System (Intuitive Surgical, Sunnyvale, Calif., USA). Twelve participants were recruited, ranging from residents to consultants."
Our news journalists obtained a quote from the research from Hiroshima University, "We used four training tasks, consisting of 'Pick and Place', 'Peg Board', 'Thread the Rings' and 'Suture Sponge', from the software program of the Mimic dV-Trainer. The performance of the participants was recorded and measured. Additionally, we prepared the same tasks for the da Vinci Surgical System. All participants completed the tasks using the da Vinci Surgical System and were assessed according to time, the Objective Structured Assessment of Technical Skill checklist and the global rating score for endoscopic suturing assessed by two independent blinded observers. After performing these tasks, the participants completed a questionnaire that evaluated the Mimic dV-Trainer's face and content validity. The final results for each participant for the Mimic dV-Trainer and the da Vinci Surgical System were compared. All participants ranked the Mimic dV-Trainer as a realistic training platform that is useful for residency training. There was a significant relationship between the Mimic dV-Trainer and the da Vinci Surgical System in all four tasks. We verified the reliability of the assessment of the checklist and the global rating scores for endoscopic suturing assessed by the two blinded observers using Cronbach's alpha test (r=0.803, 0.891). We evaluated the concurrent validity of the Mimic dV-Trainer and the da Vinci Surgical System."
According to the news editors, the research concluded: "Our results suggest the possibility that training using the Mimic dV-Trainer may therefore be able to improve the operator's performance during live robot-assisted surgery."
For more information on this research see: Face, content and concurrent validity of the Mimic® dV-Trainer for robot-assisted endoscopic surgery: a prospective study. European Surgical Research, 2013;50(3-4):292-300. (Karger - www.karger.com/; European Surgical Research - content.karger.com/ProdukteDB/produkte.asp?Aktion=JournalHome&ProduktNr=223841)
The news correspondents report that additional information may be obtained from H. Egi, Dept. of Gastroenterological and Transplant Surgery, Applied Life Sciences, Hiroshima University, Hiroshima, Japan. Additional authors for this research include M. Hattori, M. Tokunaga, T. Suzuki, K. Kawaguchi, H. Sawada and H. Ohdan.
Keywords for this news article include: Asia, Japan, Surgery, Robotics, Hiroshima, Machine Learning, Clinical Research, Emerging Technologies, Clinical Trials and Studies.
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