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MediCIS | MediCIS | ||
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- | <div class="subtitle"><center>Modeling Surgical Knowledge and Processes</center></div> | + | <div class="subtitle"><center>Models of Surgical and Interventional Competencies</center></div> |
- | <div class="subtitle"><center>Modélisation des connaissances et procédures chirurgicales et interventionnelles</div></center> | + | <div class="subtitle"><center>Modélisation des compétences chirurgicales et interventionnelles</div></center> |
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- | **Team Coordinator**, [[:members:pierre.jannin:index|Pierre Jannin]]. | + | **Team Coordinator**: [[:members:pierre.jannin:index|Pierre Jannin]] |
- | MediCIS is a research team of the [[http://www.ltsi.univ-rennes1.fr|UMR Inserm U1099 LTSI]] from [[http://www.univ-rennes1.fr|University of Rennes I]], affiliated to [[http://www.inserm.fr|INSERM]] (National Institute of Health and Scientific Research) and is located in Rennes, France at the medical school. | + | MediCIS is a INSERM research team of the [[http://www.ltsi.univ-rennes.fr|UMR Inserm U1099 LTSI]] from [[http://www.univ-rennes.fr|University of Rennes]], affiliated to [[http://www.inserm.fr|INSERM]] (National Institute of Health and Scientific Research) and is located in Rennes, France at the Medical University. |
- | We aim at improving **surgical quality** through two directions. First, by computer assistance of the surgical decision-making process including managerial decisions, process of care, and outcome-based decisions. Second, by developing simulation systems for better surgical training and evaluation. A common methodological approach will be studied for both: the study of methods for symbolic and numeric modeling of the different technical and non-technical surgical skills. One aim is also to study low-cost and low-complexity technologies for, but not exclusively, neurosurgery. | + | <html> |
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+ | <iframe width="320" src="https://www.youtube.com/embed/R32ErdlYg-Y" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> | ||
+ | <iframe width="320" src="https://www.youtube.com/embed/Y3cbYzxgHag" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> | ||
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- | ====== News ====== | ||
- | {{rss>https://medicis.univ-rennes1.fr/feed.php?type=rss3&num=10&ns=news&mode=list&content=html 5}} | ||
- | [[:news_page:index|See all news...]] | ||
- | [[:visitors_page:index|See our hosted and welcomed visitors...]] | + | The MediCIS team’s project aims at improving surgical quality by means of [[https://www.nature.com/articles/s41551-017-0132-7|Surgical Data Science]] for both surgical performance and training. Surgical data science has the potential to revolutionize surgery. Relying upon recent progress in artificial intelligence (AI) and deep learning, surgical data science aims to rely on data collected all along the surgical process, being analyzed to produce explicit knowledge that can be used for decision support, evaluation or training. Following our pioneered research on surgical process modeling and analysis, surgical data science includes analysis of human and effectors processes in addition to patient data. An holistic analysis of the surgical environment is then used for developing the next generation of computer assisted surgical systems and surgical simulators. |
- | ====== Main Research Projects and Supports ====== | + | ====== Main Research Projects ====== |
{{ :wordcount2b.jpg?200|}} | {{ :wordcount2b.jpg?200|}} | ||
- | * **New accepted project**: M-DBS: « Model Guided Deep Brain Stimulation : Understanding of underlying phenomenon and improvement of surgical procedure » (PI-4 years) Funding from INCR | + | * [[https://project.inria.fr/spars/|SPARS: Sequential Pattern Analysis in Robotic Surgery: Understanding Surgery (PI-3 years) Funding from LabEx CominLabs]] |
- | * **New accepted project**: SunSet: « Surgical Non-Technical Skills Training System » (PI-4 years) Funding from LabEx CominLabs | + | * [[https://www.univ-rennes.fr/actualites/luniversite-de-rennes-1-laureate-de-lami-demonstrateurs-numeriques-dans-lenseignement| AIR-Medical: VR for NTS (PI-3 years) Funding from PIA4]] |
- | * [[http://www.s3pm.cominlabs.ueb.eu|S3PM: Surgical Process Model for Surgical Training (PI-4 years)]] | + | * [[http://www.incr.fr|M-DBS: « Model Guided Deep Brain Stimulation : Understanding of underlying phenomenon and improvement of surgical procedure » (PI-4 years) Funding from INCR]] |
+ | * « Surgical Data Science for Improving Quality » (PI-4 years) Funding from ANR-PRCI | ||
+ | |||
+ | |||
+ | ===== Past Research Projects ===== | ||
+ | * [[https://medicis.univ-rennes1.fr/activities/theme1/dbscomp|DBS-COMP: « Tractography and Deep Brain Stimulation » (PI-3 years) Funding from FRM]] | ||
+ | * [[https://project.inria.fr/sunset/|SunSet: « Surgical Non-Technical Skills Training System » (PI-4 years) Funding from LabEx CominLabs]] | ||
+ | * [[https://condor-project.eu|CONDOR (Partner-3 years)]] | ||
+ | * [[https://project.inria.fr/s3pm/|S3PM: Surgical Process Model for Surgical Training (PI-4 years)]] | ||
* [[http://cami-labex.fr|CAMI LabEx: Computer Assisted Medical Interventions]] | * [[http://cami-labex.fr|CAMI LabEx: Computer Assisted Medical Interventions]] | ||
* [[http://b-com.org|B-COM: Augmented Healthcare and Connected Healthcare]] | * [[http://b-com.org|B-COM: Augmented Healthcare and Connected Healthcare]] | ||
* [[http://anr-acoustic.org|ACouStiC: Models for Deep Brain Stimulation (PI)]] | * [[http://anr-acoustic.org|ACouStiC: Models for Deep Brain Stimulation (PI)]] | ||
* [[http://www.incr.fr|pyDBS2: Models for Deep Brain Stimulation (PI)]] | * [[http://www.incr.fr|pyDBS2: Models for Deep Brain Stimulation (PI)]] | ||
+ | |||
+ | |||
+ | ====== MediCIS News ====== | ||
+ | * 04/04/2024: [[confs_page:sds_robotic_surgery|Call of paper]] for the Hamlyn Workshop "Applying Surgical Data Science in Robotic Surgery" that we co-organized the 25th June 2024 | ||
+ | * 04/11/2023: [[confs_page:xr4medsim|Nous co-organisons le workshop XR4MedSIM: La Simulation par Réalité Virtuelle pour Apprendre les Facteurs Humains en Santé: est ce pertinent ? 11/01/2024]] | ||
+ | * 04/10/2023: [[news:article_pelerin|Le Pélerin Magazine a récemment consacré un article complet à nos travaux sur la réalité virtuelle]] | ||
+ | |||
+ | [[news:index|see all news]] | ||
====== Involvement in Conferences ====== | ====== Involvement in Conferences ====== | ||
- | * [[http://hamlyn.doc.ic.ac.uk/winterschool/| 2015 Hamlyn Winter School on Surgical Imaging and Vision]] - P. Jannin gives a course on "Model-Guided Surgery: Methods and Applications for Deep Brain Simulation" on December 8 2015, Imperial College of London, GB | + | * [[confs_page:sds_robotic_surgery|Call of paper]] for the Hamlyn Workshop "Applying Surgical Data Science in Robotic Surgery" that we co-organized the 25th June 2024 |
- | * [[http://www.lirmm.fr/sssr-2015/| 7th Summer School on SURGICAL ROBOTICS]] - P. Jannin gives a course on "Surgical Skills Modeling and Monitoring" on september 8 2015, Montpellier, FRANCE | + | * [[confs_page:xr4medsim|Nous organisons le workshop XR4MedSIM: La Simulation par Réalité Virtuelle pour Apprendre les Facteurs Humains en Santé: est ce pertinent ? Rennes, le 11/01/2024]] |
- | * [[http://www.iccas.de/m2cai2015/| Co Organization of the 6TH WORKSHOP ON »MODELING AND MONITORING OF COMPUTER ASSISTED INTERVENTIONS (M2CAI)«]] - Munich, 9th October 2015 In conjunction with MICCAI 2015, Germany | + | * We are involved in the organization of [[https://biomedicalimaging.org/2021/|ISBI]] international conference in 2023. |
- | * [[http://cvn.ecp.fr/teaching/biomed/2015/| 3rd Biomedical Image Analysis Summer School : Modalities, Methodologies & Clinical Research]] - P. Jannin gives a course on "Model-Guided Neurosurgery: Methods and Applications for Deep Brain Simulation" on Paris, July 6-10, 2015, FRANCE | + | * [[https://medicis.univ-rennes1.fr/confs_page/cars_2019|Organization of CARS 2019 CONFERENCE in RENNES June 17-21 2019...]] |
[[:confs_page:index|See all ...]] | [[:confs_page:index|See all ...]] | ||
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Methods: | Methods: | ||
+ | - Surgical Data Science | ||
+ | - Artificial Intelligence and Machine Learning | ||
- Study and understanding of surgical competencies within simulated and real clinical environments | - Study and understanding of surgical competencies within simulated and real clinical environments | ||
- Study of methods for modeling and evaluation of competencies from observed data | - Study of methods for modeling and evaluation of competencies from observed data | ||
- Implementation of models and methods within systems allowing evaluating, ensuring and/or optimising surgical quality | - Implementation of models and methods within systems allowing evaluating, ensuring and/or optimising surgical quality | ||
- | Our core competencies: Data fusion and image processing, Machine learning, Supervized and unsupervised analysis, Knowledge modeling | + | 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 [[:activities|Scientific Activities]] page. | For more details about the methodological and applicative objectives on these issues, go to the [[:activities|Scientific Activities]] page. |