This talk will cover deployment of AI algorithms for computer-assisted medical interventions. It will discuss the inherent uncertainties embedded in such environments, and the value and role of imperfect AI predictions, and the challenges associated with such predictions for clinical decision making.

Bio: Parvin Mousavi is a Professor of Computer Science, Medicine, Pathology and Biomedical and Molecular Sciences at Queen's University, a member of the Royal Society of Canada, College of New Scholars and a Canada CIFAR AI Chair. She has previously held a Senior Scientist position at Brigham and Women's Hospital in Boston and visiting professorships at Harvard Medical School and the University of British Columbia. Her research focus is on developing and leveraging machine learning in computer assisted medical interventions and precision medicine, contributing to the societal impact of AI on the global community. She also leads training of the next generation of AI talent through a multi-institutional NSERC CREATE Training program in Medical Informatics at the intersection of machine learning and digital health.