| High-fidelity, low-cost, automated method to assess laparoscopic skills objectively. | |
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MedLine Citation:
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PMID: 22483134 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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BACKGROUND: We sought to define the extent to which a motion analysis-based assessment system constructed with simple equipment could measure technical skill objectively and quantitatively. METHODS: An "off-the-shelf" digital video system was used to capture the hand and instrument movement of surgical trainees (beginner level = PGY-1, intermediate level = PGY-3, and advanced level = PGY-5/fellows) while they performed a peg transfer exercise. The video data were passed through a custom computer vision algorithm that analyzed incoming pixels to measure movement smoothness objectively. RESULTS: The beginner-level group had the poorest performance, whereas those in the advanced group generated the highest scores. Intermediate-level trainees scored significantly (p < 0.04) better than beginner trainees. Advanced-level trainees scored significantly better than intermediate-level trainees and beginner-level trainees (p < 0.04 and p < 0.03, respectively). CONCLUSIONS: A computer vision-based analysis of surgical movements provides an objective basis for technical expertise-level analysis with construct validity. The technology to capture the data is simple, low cost, and readily available, and it obviates the need for expert human assessment in this setting. |
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Authors:
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Richard J Gray; Kanav Kahol; Gazi Islam; Marshall Smith; Alyssa Chapital; John Ferrara |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of surgical education Volume: 69 ISSN: 1878-7452 ISO Abbreviation: J Surg Educ Publication Date: 2012 May |
Date Detail:
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Created Date: 2012-04-09 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101303204 Medline TA: J Surg Educ Country: United States |
Other Details:
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Languages: eng Pagination: 335-9 Citation Subset: IM |
Copyright Information:
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Copyright © 2012 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved. |
Affiliation:
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Department of Surgery, Mayo Clinic, Scottsdale, Arizona. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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