ArticleInternational journal of computer assisted radiology and surgery2018
Toward a standard ontology of surgical process models.
Article in International journal of computer assisted radiology and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of annotation for surgical process model analysis in minimally invasive surgery based on video.Surgical endoscopy · 2023Pooled it
- Consensus operational definitions of surgical meta-competencies for computer vision-driven performance assessment: a multi-institutional Delphi study.Surgical endoscopy · 2026Article
- Introducing FRAM as a tool for surgical process modeling: a case study for understanding surgical scheduling complexity.International journal of computer assisted radiology and surgery · 2026Article
- A Standardized Temporal Segmentation Framework and Annotation Resource Library in Robotic Surgery.Mayo Clinic proceedings. Digital health · 2025Article
- Statistical Surgical Process Modeling: Analysis of Workflow and Performance of Emerging Technologies in Image-Guided Spine Surgery.Annals of biomedical engineering · 2025Article
- LapEx: A new multimodal dataset for context recognition and practice assessment in laparoscopic surgery.Scientific data · 2025Article
- Surgical video workflow analysis via visual-language learning.npj health systems · 2025Article
- An Ontology-Based Approach for Understanding Appendicectomy Processes and Associated Resources.Healthcare (Basel, Switzerland) · 2024Article
- An ontology-based tool for modeling and documenting events in neurosurgery.BMC medical informatics and decision making · 2024Article
- Autonomous System for Tumor Resection (ASTR) - Dual-Arm Robotic Midline Partial Glossectomy.IEEE robotics and automation letters · 2024Article
- Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance.Diagnostics (Basel, Switzerland) · 2023Article
- SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education).Surgical endoscopy · 2023Article
- A methodology for the annotation of surgical videos for supervised machine learning applications.International journal of computer assisted radiology and surgery · 2023Review
- Proposal and multicentric validation of a laparoscopic Roux-en-Y gastric bypass surgery ontology.Surgical endoscopy · 2023Article
- Artificial intelligence and automation in endoscopy and surgery.Nature reviews. Gastroenterology & hepatology · 2023Review
- Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data.Surgical endoscopy · 2022Article
- Service-oriented Device Connectivity interface for a situation recognition system in the OR.International journal of computer assisted radiology and surgery · 2022Article
- Surgical data science - from concepts toward clinical translation.Medical image analysis · 2022Review
- SAGES consensus recommendations on an annotation framework for surgical video.Surgical endoscopy · 2021Article
- Non-Technical Skill Assessment and Mental Load Evaluation in Robot-Assisted Minimally Invasive Surgery.Sensors (Basel, Switzerland) · 2021Review
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Authors and funding
20 authors.
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Abstract
purposeThe 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.
methodsA 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.
resultsThe 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.
conclusionThe 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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Registered trials
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