A Graphical Tool for Parsing and Inspecting Surgical Robotic Datasets

Abstract

Skill and practice of surgeons greatly affect the outcome of surgical procedures, thus surgical skill assessment is exceptionally important. In the clinical practice, even today, the standard is peer assessment of the capabilities. In the case of robotic surgery, the observable motion of the laparoscopic tools can hide the expertise level of the operator. JIGSAWS is a database containing kinematic and video data of surgeons training with the da Vinci Surgical System. The JIGSAWS can be an extremely powerful tool in surgical skill assessment research, but due to its data-storage it is not user-friendly. In this paper, we propose a graphical tool for the JIGSAWS, which can ease the usage of this annotated surgical dataset.