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Objective: State-of-the-art techniques for surgical data analysis report promising results for automated skill assessment and action recognition. The contributions of many of these techniques, however, are limited to study-specific data and validation metrics, making assessment of progress across the field extremely challenging. Methods: In this paper, we address two major problems for surgical data...
In this paper, we present a computer vision algorithm to extract key information pertinent to assessing surgical suturing. This algorithm uses an instrumented platform designed to quantify suturing skill. As subjects performed suturing on the platform, the vision algorithm computes the time and the location of suture needle's entry and exit, stitch length, needle trace, and hesitation time, which...
The objective of this paper is to present an algorithm that allows us to record the movements and metrics that the surgeon does for placement of intrapedicular screw in lumbar region, and also provides de visual feedback that simulates the fluoroscope imagery. This algorithm is intended for be used with a model of the lumbar area in order to develop a simulator of a minimum invasive surgery, that...
Robotic surgery is increasingly popular for a wide range of complex minimally invasive surgery procedures. To improve robotic surgery training, a skills trainer simulator called dV-Trainer has recently been introduced, and a da Vinci Skills Simulator is in advanced evaluation. These platforms report a range of time and motion based task metrics and literature has investigated the validity of these...
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