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

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中图分类号 R615 TP242 文献标识码 A文章编号 2096-7721（2025）06-1031-05

A prediction model for global evaluative assessment of robotic skill based on Da Vinci surgical simulator scores

LIANG Yujing1，2， CUI Haoxin34，LI Yanghui1，2， XING Wenhui5， ZHENG Nan34， WANG Rong1， （1.SouthCinaUvesityfThologSolofedicin，Guango，Cina;2DepamntofdultCadcSurgery MedicalCentralosialea;.olialItell，Uvesitf Sciences，Beio9，a;4StatKboatoofdaltaltellgeessitftoma AcademyofSienes，Beijng9，Chia;5.Facultyfursing，HebeiUniversityofinseMedicine，SjzhuagO0a）

AbstractObjective：Toanalyethecorelationbetweeglobalevaluativeassmentofroboticskills（GEARS）andDaVici skil simulator （DVSS）scores，and to develop a prediction model for GEARS scores based on DVSS scoring. Methods：27participants completed6tasksontheDVS，generatingbothDSSandGEARSscores.Linearregresionandmultivariatepredictivemodelswere usedtoconstructaGEARSscore predictionmodel.Results：Significantcorelationsbetween DVSSand GEARS evaluationmetricwere identified.AnequationwasestablishedtopredicttotalGEARSscoresusingDVSSscores.Comparisonsbetwenlinearandmutivariate modelsrevealed similarpredictiveperformancefortotal GEARSscores.Conclusion：Trainerscanutilizealinearregresionequation derived from DVSS scores to predict total GEARS scores.

Key WordsSurgical Simulator; Prediction Model; Robot-assisted Surgery; Training Mode

机器人手术系统的介入改变了传统手术方式，同时给外科医生带来了新的挑战。（剩余9521字）