AI algorithms and intelligent systems hold great promise in the health sector, such as decreasing the cost of supporting an aging population, discovering new therapeutic avenues for complex disease such as cancers, and better patient management. To support future advances in the Canadian healthcare system with data intelligent algorithms, barriers to data access and privacy must be addressed, and many scientists are turning toward generative models and synthetic datasets for innovative solutions.

This symposium is hosted by CIFAR in partnership with IVADO and Mila.