Literature DB >> 30006820

Toward a standard ontology of surgical process models.

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.   

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.

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Year:  2018        PMID: 30006820     DOI: 10.1007/s11548-018-1824-5

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  40 in total

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Authors:  Juan C Rodríguez-Sanjuán; Marcos Gómez-Ruiz; Soledad Trugeda-Carrera; Carlos Manuel-Palazuelos; Antonio López-Useros; Manuel Gómez-Fleitas
Journal:  World J Gastroenterol       Date:  2016-02-14       Impact factor: 5.742

2.  Evaluating RadLex and real world radiology reporting: are we there yet?

Authors:  Marta E Heilbrun
Journal:  Acad Radiol       Date:  2013-11       Impact factor: 3.173

3.  A hybrid system using symbolic and numeric knowledge for the semantic annotation of sulco-gyral anatomy in brain MRI images.

Authors:  Ammar Mechouche; Xavier Morandi; Christine Golbreich; Bernard Gibaud
Journal:  IEEE Trans Med Imaging       Date:  2009-07-17       Impact factor: 10.048

4.  Modeling surgical processes: a four-level translational approach.

Authors:  Dayana Neumuth; Frank Loebe; Heinrich Herre; Thomas Neumuth
Journal:  Artif Intell Med       Date:  2011-01-11       Impact factor: 5.326

5.  Can masses of non-experts train highly accurate image classifiers? A crowdsourcing approach to instrument segmentation in laparoscopic images.

Authors:  Lena Maier-Hein; Sven Mersmann; Daniel Kondermann; Sebastian Bodenstedt; Alexandro Sanchez; Christian Stock; Hannes Gotz Kenngott; Mathias Eisenmann; Stefanie Speidel
Journal:  Med Image Comput Comput Assist Interv       Date:  2014

6.  LapOntoSPM: an ontology for laparoscopic surgeries and its application to surgical phase recognition.

Authors:  Darko Katić; Chantal Julliard; Anna-Laura Wekerle; Hannes Kenngott; Beat Peter Müller-Stich; Rüdiger Dillmann; Stefanie Speidel; Pierre Jannin; Bernard Gibaud
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-06-11       Impact factor: 2.924

7.  Analysis of surgical intervention populations using generic surgical process models.

Authors:  Thomas Neumuth; Pierre Jannin; Juliane Schlomberg; Jürgen Meixensberger; Peter Wiedemann; Oliver Burgert
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-06-06       Impact factor: 2.924

Review 8.  Study methods in evidence-based surgery: methodological impediments and suggested approaches for the creation and transfer of knowledge in surgery.

Authors:  Felix Jakob Hüttner; Colette Doerr-Harim; Pascal Probst; Solveig Tenckhoff; Phillip Knebel; Markus Konrad Diener
Journal:  Eur Surg Res       Date:  2014-09-03       Impact factor: 1.745

9.  The Units Ontology: a tool for integrating units of measurement in science.

Authors:  Georgios V Gkoutos; Paul N Schofield; Robert Hoehndorf
Journal:  Database (Oxford)       Date:  2012-10-10       Impact factor: 3.451

10.  Surgical models for computer-assisted neurosurgery.

Authors:  P Jannin; X Morandi
Journal:  Neuroimage       Date:  2007-05-31       Impact factor: 6.556

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  8 in total

1.  "Deep-Onto" network for surgical workflow and context recognition.

Authors:  Hirenkumar Nakawala; Roberto Bianchi; Laura Erica Pescatori; Ottavio De Cobelli; Giancarlo Ferrigno; Elena De Momi
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-11-16       Impact factor: 2.924

2.  CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions.

Authors:  Tom Vercauteren; Mathias Unberath; Nicolas Padoy; Nassir Navab
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2019-10-23       Impact factor: 10.961

3.  Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data.

Authors:  Martin Wagner; Johanna M Brandenburg; Sebastian Bodenstedt; André Schulze; Alexander C Jenke; Antonia Stern; Marie T J Daum; Lars Mündermann; Fiona R Kolbinger; Nithya Bhasker; Gerd Schneider; Grit Krause-Jüttler; Hisham Alwanni; Fleur Fritz-Kebede; Oliver Burgert; Dirk Wilhelm; Johannes Fallert; Felix Nickel; Lena Maier-Hein; Martin Dugas; Marius Distler; Jürgen Weitz; Beat-Peter Müller-Stich; Stefanie Speidel
Journal:  Surg Endosc       Date:  2022-09-28       Impact factor: 3.453

Review 4.  Surgical data science - from concepts toward clinical translation.

Authors:  Lena Maier-Hein; Matthias Eisenmann; Duygu Sarikaya; Keno März; Toby Collins; Anand Malpani; Johannes Fallert; Hubertus Feussner; Stamatia Giannarou; Pietro Mascagni; Hirenkumar Nakawala; Adrian Park; Carla Pugh; Danail Stoyanov; Swaroop S Vedula; Kevin Cleary; Gabor Fichtinger; Germain Forestier; Bernard Gibaud; Teodor Grantcharov; Makoto Hashizume; Doreen Heckmann-Nötzel; Hannes G Kenngott; Ron Kikinis; Lars Mündermann; Nassir Navab; Sinan Onogur; Tobias Roß; Raphael Sznitman; Russell H Taylor; Minu D Tizabi; Martin Wagner; Gregory D Hager; Thomas Neumuth; Nicolas Padoy; Justin Collins; Ines Gockel; Jan Goedeke; Daniel A Hashimoto; Luc Joyeux; Kyle Lam; Daniel R Leff; Amin Madani; Hani J Marcus; Ozanan Meireles; Alexander Seitel; Dogu Teber; Frank Ückert; Beat P Müller-Stich; Pierre Jannin; Stefanie Speidel
Journal:  Med Image Anal       Date:  2021-11-18       Impact factor: 13.828

Review 5.  Non-Technical Skill Assessment and Mental Load Evaluation in Robot-Assisted Minimally Invasive Surgery.

Authors:  Renáta Nagyné Elek; Tamás Haidegger
Journal:  Sensors (Basel)       Date:  2021-04-10       Impact factor: 3.576

6.  Surgical Process Modeling for Open Spinal Surgeries.

Authors:  Fabio Carrillo; Hooman Esfandiari; Sandro Müller; Marco von Atzigen; Aidana Massalimova; Daniel Suter; Christoph J Laux; José M Spirig; Mazda Farshad; Philipp Fürnstahl
Journal:  Front Surg       Date:  2022-01-25

7.  Service-oriented Device Connectivity interface for a situation recognition system in the OR.

Authors:  Denise Junger; Patrick Beyersdorffer; Christian Kücherer; Oliver Burgert
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-05-20       Impact factor: 3.421

Review 8.  An Overview of Ontologies in Virtual Reality-Based Training for Healthcare Domain.

Authors:  Ummul Hanan Mohamad; Mohammad Nazir Ahmad; Youcef Benferdia; Azrulhizam Shapi'i; Mohd Yazid Bajuri
Journal:  Front Med (Lausanne)       Date:  2021-07-09
  8 in total

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