Journal of Robotic Surgery https://doi.org/10.1007/s11701-018-0833-2 LE T TER TO THE EDITOR Automated, objective and predictive evaluation of technical skills in robot-assisted surgery Andrea Moglia Received: 21 March 2018 / Accepted: 3 June 2018 © Springer-Verlag London Ltd., part of Springer Nature 2018 To the Editor: experts, in accordance with published evidence reporting construct validity . Although results of the study report I read with great interest the recently published article by a high accuracy on the two tasks (82.3% for knot tying and Fard et al. entitled “Automated robot-assisted surgical skill 89.9% on suture) there are some remarks. First, the study is evaluation: Predictive analytics approach.” . limited to eight surgeons. More participants and exercises Trainees in robot-assisted surgery (RAS) need to acquire would be certainly useful to validate results, as discussed by different technical skills over traditional surgery because of authors . Second, authors did not explain why a threshold the peculiarities of the da Vinci surgical system by Intuitive of 15 and 19 at a global rating scale was used, respectively, Surgical (Sunnyvale, CA, United States). In particular, the for knot tying and suture task, to divide surgeons between master console requires a proper level of technical skills novices and experts.
Journal of Robotic Surgery – Springer Journals
Published: Jun 5, 2018
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