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Surgical Skill Analysis with Surgical Data Science | Dr Pierre Jannin


For those of you who were unable to join the webinar live, the stream is now available for everyone to watch here or on YouTube.


With about 250 million surgical procedures worldwide per year, surgical quality is a crucial societal issue. Increasing surgical quality may occur through the whole perioperative process from diagnosis, strategy decision, planning, performance and post-operative evaluation, as well as through initial and continuous learning. Computer assistance is required at each step.

In the presentation, I will present how such objectives can be addressed by studying and understanding surgical skills, following the surgical data science methodology. I will illustrate such approaches by examples covering different aspects of surgical skills from technical to non-technical ones, such as the evaluation of surgical procedural skills, the development of a surgical simulation system for training procedural skills based on an interactive and collaborative virtual reality environment and the study of neurosurgical non-technical skills.

Speaker Bio:

Pierre Jannin is a INSERM Research Director at the Medical School of the University of Rennes (France). He is the head of the MediCIS research group from both UMR 1099 LTSI, Inserm research institute and University of Rennes. He has more than 30-year experience in designing and developing computer assisted surgery systems. He was the President of the International Society of Computer Aided Surgery from 2014 to 2018. He was board member of the MICCAI society from 2014 to 2018. He is SPIE senior member.

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