Article intro: OntoFlow, a software tool for surgical workflow recording
Article published by Dénes Á. Nagy; Imre J. Rudas and Tamás Haidegger at
2018 IEEE 16th World Symposium on Applied Machine Intelligence and Informatics (SAMI):
Abstract:
Surgical Process Modeling is a growing field
of biomedical data science, aiming to create and support context aware
surgical systems. As a part of it, novel research intends to provide
standardized, formal description of surgical processes. Surgical
workflow recordings based on ontologies can provide objective
measurements of surgical skill, thus standardizing surgical performance.
Comparing the operational phase to the calculated optimal process could
allow for new, context aware surgical training, evaluation and
assistant systems. In this paper, we present a new software tool, named
OntoFlow, developed to record ontology-based surgical workflow during
the clinical practice, with post-event editing and reviewing
capabilities. OntoFlow directly accesses the background ontology,
therefore it can speed up the process of ontology development. As a
surgical workflow reviewing software it can also be used as a training
tool for surgical residents.
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