Jiafeng Li, Lixia Cao, Guoliang Zhang
Research on automatic matching of online mathematics courses and design of teaching activities based on multiobjective optimization algorithm
PeerJ. Computer science
efficient precise surgical skills essential ensuring positive patient outcomes continuously providing realtime data driven objective evaluation surgical performance automated skill assessment potential greatly improve surgical skill training whereas machine learningbased surgical skill assessment gaining traction minimally invasive techniques cannot said open surgery skills open surgery generally degrees freedom compared minimally invasive surgery making difficult interpret paper present novel approaches skill assessment open surgery skills analyzed novel video dataset open suturing training provide detailed analysis dataset define evaluation guidelines using state art deep learning models furthermore present novel benchmarking results surgical skill assessment open suturing models trained classify video three skill levels based global rating score obtain initial results videobased surgical skill classification benchmarked temporal segment network i3d video swin backbone dataset dataset composed 314 videos approximately five minutes model benchmarking results accuracy f1 score 75 72 respectively similar performance achieved individual raters regarding interrater agreement rater variability present first endtoend trained approach skill assessment open surgery training provide thorough analysis new dataset well novel benchmarking results surgical skill assessment opens doors new advances skill assessment enabling videobased skill assessment classic surgical techniques potential improve surgical outcome patients