A Plastic Surgery Simulator Enriched with Surgical Operational Context Taxonomy.

Use of cybernetic technologies in data-driven surgery simulation is a trendy topic. Although there exist promising studies in virtual simulation of surgery operations there exist relatively little effort in plastic surgery domain. This paper aims to present a data-driven interactive virtual reality simulation environment that is built on a novel surgical operational context taxonomy. The proposed taxonomy is used to develop a data model covering pre-surgery, peri-surgery, and post-surgery operations enabling effective monitoring of the surgery steps. The data model helps users to filter the useful data about surgery steps and health data. Such a data-driven filtering mechanism will also assist the training of surgeon candidates to get more prepared for real-life surgery operations. The suggested solution also enables health data flow over an IoT backbone which augments the ambient-assisted reality of the surgery operation environment.