You are here: index

Models of Surgical and Interventional Competencies
Modélisation des compétences chirurgicales et interventionnelles

Team Coordinator: Pierre Jannin.

MediCIS is a research team of the UMR Inserm U1099 LTSI from University of Rennes I, affiliated to INSERM (National Institute of Health and Scientific Research) and is located in Rennes, France at the medical school.

We aim at improving surgical quality with Surgical Data Science. This first includes study of Artificial Intelligence approaches for computer assistance of surgical decision-making process including managerial decisions, process of care, and outcome-based decisions. And secondly, the study of methods for symbolic and numeric modeling of the different technical and non-technical surgical skills for developing simulation systems for better surgical training and evaluation. One aim is also to study low-cost and low-complexity technologies for, but not exclusively, neurosurgery.

... WE ORGANIZED CARS 2019 CONFERENCE IN RENNES. See how successful it was ...


Main Research Projects and Supports

Involvement in Conferences

See all ...


  • Between 6 and 8 millions of surgical procedures per year in France (250 millions worldwide)
  • More patients in an older population need for more surgical procedures with better health care
  • 10 000 to 15 000 avoidable serious adverse events occur in the peri-operative process per year in France

Global Vision

Improving surgical quality by means of:

  • Surgical decision support with predictive models of best practice
  • Evaluation and training of both technical and non-technical surgical skills


  1. Surgical Data Science
  2. Artificial Intelligence and Machine Learning
  3. Study and understanding of surgical competencies within simulated and real clinical environments
  4. Study of methods for modeling and evaluation of competencies from observed data
  5. Implementation of models and methods within systems allowing evaluating, ensuring and/or optimising surgical quality

Our core competencies: Surgical Data Science, Artificial Intelligence and Machine Learning, Data fusion and image processing, Ontologies

For more details about the methodological and applicative objectives on these issues, go to the Scientific Activities page.

inserm rennes1 ltsi