Meaningful assessment of surgical expertise: Semantic labeling with data and crowds

Marzieh Ershad, Zachary Koesters, Robert V Rege, Ann Majewicz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

Many surgical assessment metrics have been developed to identify and rank surgical expertise; however,some of these metrics (e.g.,economy of motion) can be difficult to understand and do not coach the user on how to modify behavior. We aim to standardize assessment language by identifying key semantic labels for expertise. We chose six pairs of contrasting adjectives and associated a metric with each pair (e.g.,fluid/viscous correlated to variability in angular velocity). In a user study,we measured quantitative data (e.g.,limb accelerations,skin conductivity,and muscle activity),for subjects (n=3,novice to expert) performing tasks on a robotic surgical simulator. Task and posture videos were recorded for each repetition and crowd-workers labeled the videos by selecting one word from each pair. The expert was assigned more positive words and also had better quantitative metrics for the majority of the chosen word pairs,showing feasibility for automated coaching.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings
PublisherSpringer Verlag
Pages508-515
Number of pages8
Volume9900 LNCS
ISBN (Print)9783319467191
DOIs
Publication statusPublished - 2016
Event1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016 - Athens, Greece
Duration: Oct 21 2016Oct 21 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9900 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016
CountryGreece
CityAthens
Period10/21/1610/21/16

    Fingerprint

Keywords

  • Crowdsourced assessment
  • Semantic descriptors
  • Surgical training and evaluation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ershad, M., Koesters, Z., Rege, R. V., & Majewicz, A. (2016). Meaningful assessment of surgical expertise: Semantic labeling with data and crowds. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings (Vol. 9900 LNCS, pp. 508-515). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9900 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46720-7_59