Toward a standard ontology of surgical process models.

Autor: Gibaud B; Inserm, LTSI - UMR_S 1099, Univ Rennes, Rennes, France. bernard.gibaud@univ-rennes1.fr., Forestier G; MIPS Laboratory, University of Haute-Alsace, Mulhouse, France., Feldmann C; Division of Computer Assisted Medical Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany., Ferrigno G; NEARLAB, Politecnico di Milano, Milan, Italy., Gonçalves P; Instituto Politécnico de Castelo Branco, Castelo Branco, Portugal.; IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal., Haidegger T; Antal Bejczy Center for Intelligent Robotics, Óbuda University, Budapest, Hungary.; Austrian Center for Medical Innovation and Technology (ACMIT), Wiener Neustadt, Austria., Julliard C; Inserm, LTSI - UMR_S 1099, Univ Rennes, Rennes, France.; LIRMM, Université de Montpellier, Montpellier, France.; Stryker GmbH, Freiburg, Germany., Katić D; Karlsruhe Institute of Technology, Institute for Anthropomatics and Robotics, Karlsruhe, Germany.; ArtiMinds Robotics GmbH, Karlsruhe, Germany., Kenngott H; Department of General, Abdominal and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany., Maier-Hein L; Division of Computer Assisted Medical Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany., März K; Division of Computer Assisted Medical Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany., de Momi E; NEARLAB, Politecnico di Milano, Milan, Italy., Nagy DÁ; Antal Bejczy Center for Intelligent Robotics, Óbuda University, Budapest, Hungary.; Austrian Center for Medical Innovation and Technology (ACMIT), Wiener Neustadt, Austria., Nakawala H; NEARLAB, Politecnico di Milano, Milan, Italy., Neumann J; Innovation Center Computer Assisted Surgery, Leipzig University, Leipzig, Germany., Neumuth T; Innovation Center Computer Assisted Surgery, Leipzig University, Leipzig, Germany., Rojas Balderrama J; Inserm, LTSI - UMR_S 1099, Univ Rennes, Rennes, France.; INRIA, Rennes, France., Speidel S; National Center for Tumor Diseases (NCT), Dresden, Germany., Wagner M; Department of General, Abdominal and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany., Jannin P; Inserm, LTSI - UMR_S 1099, Univ Rennes, Rennes, France.
Jazyk: angličtina
Zdroj: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2018 Sep; Vol. 13 (9), pp. 1397-1408. Date of Electronic Publication: 2018 Jul 13.
DOI: 10.1007/s11548-018-1824-5
Abstrakt: Purpose: The development of common ontologies has recently been identified as one of the key challenges in the emerging field of surgical data science (SDS). However, past and existing initiatives in the domain of surgery have mainly been focussing on individual groups and failed to achieve widespread international acceptance by the research community. To address this challenge, the authors of this paper launched a European initiative-OntoSPM Collaborative Action-with the goal of establishing a framework for joint development of ontologies in the field of SDS. This manuscript summarizes the goals and the current status of the international initiative.
Methods: A workshop was organized in 2016, gathering the main European research groups having experience in developing and using ontologies in this domain. It led to the conclusion that a common ontology for surgical process models (SPM) was absolutely needed, and that the existing OntoSPM ontology could provide a good starting point toward the collaborative design and promotion of common, standard ontologies on SPM.
Results: The workshop led to the OntoSPM Collaborative Action-launched in mid-2016-with the objective to develop, maintain and promote the use of common ontologies of SPM relevant to the whole domain of SDS. The fundamental concept, the architecture, the management and curation of the common ontology have been established, making it ready for wider public use.
Conclusion: The OntoSPM Collaborative Action has been in operation for 24 months, with a growing dedicated membership. Its main result is a modular ontology, undergoing constant updates and extensions, based on the experts' suggestions. It remains an open collaborative action, which always welcomes new contributors and applications.
Databáze: MEDLINE
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