机器人外科学杂志（中英文）2025，Vol.6Issue(6)：1031-1035,5.DOI:10.12180/j.issn.2096-7721.2025.06.028
基于达芬奇手术模拟器评分的机器人技能全面评价预测模型研究
A prediction model for global evaluative assessment of robotic skill based on Da Vinci surgical simulator scores
摘要
Abstract
Objective:To analyze the correlation between global evaluative assessment of robotic skills(GEARS)and Da Vinci skill simulator(DVSS)scores,and to develop a prediction model for GEARS scores based on DVSS scoring.Methods:27 participants completed 6 tasks on the DVSS,generating both DVSS and GEARS scores.Linear regression and multivariate predictive models were used to construct a GEARS score prediction model.Results:Significant correlations between DVSS and GEARS evaluation metric were identified.An equation was established to predict total GEARS scores using DVSS scores.Comparisons between linear and multivariate models revealed similar predictive performance for total GEARS scores.Conclusion:Trainers can utilize a linear regression equation derived from DVSS scores to predict total GEARS scores.关键词
手术模拟器/预测模型/机器人辅助手术/培训模式Key words
Surgical Simulator/Prediction Model/Robot-assisted Surgery/Training Mode分类
临床医学引用本文复制引用
梁渝靖,崔皓鑫,李阳辉,邢文惠,郑楠,王嵘..基于达芬奇手术模拟器评分的机器人技能全面评价预测模型研究[J].机器人外科学杂志（中英文）,2025,6(6):1031-1035,5.基金项目
国家重点研发计划项目(2022YFB4700800)National Key R&D Plan Project(2022YFB4700800) （2022YFB4700800）
