Related projects
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Automated Assessment of Surgical Skill: Leveraging Kinematic Data for Objective Expertise Inference
This project explores whether surgical expertise can be measured from the way instruments move during a realistic neurosurgical simulation. The goal is to develop machine learning models that learn motion patterns from recorded instrument movements and use them to classify different levels of surgical skill. The dataset includes recordings from participants performing a surgical simulation on calf brain tissue, providing realistic and controlled conditions for analysis. The project will help develop new data-driven tools for surgical training and assessment, benefiting participating institutions by advancing research in artificial intelligence, medical simulation, and surgical education.
Faculty Supervisor:
Houssem Gueziri
Student:
Partner:
École nationale d'ingénieurs de Sousse (ENISo)
Discipline:
Computer science
Sector:
Artificial Intelligence; Health and Related Sciences and Technology
University:
Université TÉLUQ
Program:
Globalink Research Award
Current openings
Find the perfect opportunity to put your academic skills and knowledge into practice!
Find Projects
International
Load More
International
Load More
Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.