| Literature DB >> 26556643 |
Gazi Islam1, Kanav Kahol2, Baoxin Li3, Marshall Smith4, Vimla L Patel5.
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.Keywords: Computer vision; Feature detection; Skill assessment; Surgery; Web-based evaluation tool
Mesh:
Year: 2015 PMID: 26556643 DOI: 10.1016/j.jbi.2015.11.002
Source DB: PubMed Journal: J Biomed Inform ISSN: 1532-0464 Impact factor: 6.317