Abstract
Simulation is common practice for surgeon training in particular for robotic surgery. This paper introduces further relevant applications of simulation that improve patient safety. Therefore, the design of a modular simulator for minimally invasive robotic surgery is presented. The authors introduce a classification of hierarchical levels of modeling details for the three aspects Application, System, and Patient. Furthermore, the principal use case classes Training, Workflow Validation, Workflow Design, Monitoring, and Robot Design of simulation for robotic surgery are introduced. For each class standard simulator setups are presented. The use of the classification is exemplified for Training and Robot Design use cases.
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Jörg, S., Konietschke, R., Klodmann, J. (2013). Classification of Modeling for Versatile Simulation Goals in Robotic Surgery. In: Lee, S., Cho, H., Yoon, KJ., Lee, J. (eds) Intelligent Autonomous Systems 12. Advances in Intelligent Systems and Computing, vol 194. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33932-5_13
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DOI: https://doi.org/10.1007/978-3-642-33932-5_13
Publisher Name: Springer, Berlin, Heidelberg
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