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MediCIS - UMR U1099 LTSI activities concern the development of new information science algorithms dedicated to the study of modeling approaches for model guided surgery and interventions. It aims at improving surgical quality by means of surgical decision support and surgical skill evaluation and training.
Our objective is to study methods for modelling and analysis surgical and interventional knowledge and processes allowing the development of a new generation of computer assisted surgical (CAS) systems with full decision-making support. In this context, we are addressing the general problems of conception of the surgical room of the future. We address the issue of modelling through two complementary approaches: numeric with data fusion inspired approaches and symbolic with conceptual modelling and formal ontologies.
Cranial and spinal surgery. Functional neurosurgery (such as Deep Brain Stimulation). Surgery of brain tumors. Eye surgery. Laparoscopic surgery.
Surgical Quality, Patient Safety, Computer Assisted Surgery, Surgical Training, Surgical Evaluation, Non technical surgical skills, Ontology, Semantic Modeling, Image guided Surgery, Machine learning, Surgical Process Models, Knowledge Modeling, Surgical Workflow