ArticleJournal of robotic surgery2026
Adjacent-room dual-console Remote Surgical Training (ReST) with takeover capability on the da Vinci Xi: a porcine-model feasibility study.
Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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14 authors.
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Abstract
We evaluated a Remote Surgical Training model (ReST) in which the tutor operates a second da Vinci Xi console from an adjacent room while preserving integrated audio and the ability to take over control. A comparative feasibility study was conducted at RAIN (A. Cardarelli Hospital, Naples, Italy) between March 2021 and April 2023 using a porcine model. Thirty training sessions were analysed (15 ReST, 15 in-room dual-console controls). Trainee performance was assessed with the Global Evaluative Assessment of Robotic Skills (GEARS); post-session surveys captured perceptions, tutor-trainee agreement (weighted Cohen’s κ), priority rankings (Kemeny aggregation with τX) and satisfaction. GEARS internal consistency was acceptable (Cronbach’s α overall 0.805; control 0.837; ReST 0.768). No statistically significant differences were observed for the GEARS total score (Mann-Whitney U = 105, p = 0.595) or domains (p = 0.074–0.683). Tutor-trainee agreement was significant for three interaction items: ease of teaching/training (p = 0.004), ability to follow the trainee’s actions (p = 0.011) and overall interaction quality (p = 0.014). Priority rankings in both roles emphasised clarity of instruction and takeover capability, while physical proximity ranked lowest. Tutors and trainers reported high satisfaction in both groups; one trainee reported low satisfaction in the ReST group. Adjacent-room ReST with takeover capability was feasible in this porcine-model training setting and showed no observed performance decrement compared with conventional in-room dual-console training. These findings should not be interpreted as proof of equivalence or as validation of true long-distance teleproctoring; further work is required for larger samples, participant-level baseline adjustment, and longer-distance configurations.
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