Abstract

Advances in the medical field have increased the need to incorporate modern techniques into surgical resident training and surgical skills learning. To facilitate this integration, one approach that has gained credibility is the incorporation of simulator based training to supplement traditional training programs. However, existing implementations of these training methods still require the constant presence of a competent surgeon to assess the surgical dexterity of the trainee, which limits the evaluation methods and relies on subjective evaluation. This research proposes an efficient, effective, and economic video-based skill assessment technique for minimally invasive surgery (MIS). It analyzes a surgeon's hand and surgical tool movements and detects features like smoothness, efficiency, and preciseness. The system is capable of providing both real time on-screen feedback and a performance score at the end of the surgery. Finally, we present a web-based tool where surgeons can securely upload MIS training videos and receive evaluation scores and an analysis of trainees' performance trends over time.

Original languageEnglish (US)
Pages (from-to)102-114
Number of pages13
JournalJournal of Biomedical Informatics
Volume59
DOIs
StatePublished - Feb 1 2016

Keywords

  • Computer vision
  • Feature detection
  • Skill assessment
  • Surgery
  • Web-based evaluation tool

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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