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• W2024256692 abstract "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. 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. 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). 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." @default.
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• W2024256692 date "2012-05-01" @default.
• W2024256692 modified "2023-09-25" @default.
• W2024256692 title "High-Fidelity, Low-Cost, Automated Method to Assess Laparoscopic Skills Objectively" @default.
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• W2024256692 doi "https://doi.org/10.1016/j.jsurg.2011.10.014" @default.
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