Bernard Gibaud1, Germain Forestier2, Carolin Feldmann3, Giancarlo Ferrigno4, Paulo Gonçalves5,6, Tamás Haidegger7,8, Chantal Julliard9,10,11, Darko Katić12,13, Hannes Kenngott14, Lena Maier-Hein3, Keno März3, Elena de Momi4, Dénes Ákos Nagy7,8, Hirenkumar Nakawala4, Juliane Neumann15, Thomas Neumuth15, Javier Rojas Balderrama9,16, Stefanie Speidel17, Martin Wagner14, Pierre Jannin9. 1. Inserm, LTSI - UMR_S 1099, Univ Rennes, Rennes, France. bernard.gibaud@univ-rennes1.fr. 2. MIPS Laboratory, University of Haute-Alsace, Mulhouse, France. 3. Division of Computer Assisted Medical Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany. 4. NEARLAB, Politecnico di Milano, Milan, Italy. 5. Instituto Politécnico de Castelo Branco, Castelo Branco, Portugal. 6. IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal. 7. Antal Bejczy Center for Intelligent Robotics, Óbuda University, Budapest, Hungary. 8. Austrian Center for Medical Innovation and Technology (ACMIT), Wiener Neustadt, Austria. 9. Inserm, LTSI - UMR_S 1099, Univ Rennes, Rennes, France. 10. LIRMM, Université de Montpellier, Montpellier, France. 11. Stryker GmbH, Freiburg, Germany. 12. Karlsruhe Institute of Technology, Institute for Anthropomatics and Robotics, Karlsruhe, Germany. 13. ArtiMinds Robotics GmbH, Karlsruhe, Germany. 14. Department of General, Abdominal and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany. 15. Innovation Center Computer Assisted Surgery, Leipzig University, Leipzig, Germany. 16. INRIA, Rennes, France. 17. National Center for Tumor Diseases (NCT), Dresden, Germany.
Abstract
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.
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.
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