Events

For the April forum on machine learning in precision health, the first presentation by Ross Mitchell, a Professor of Medicine and AI scientist at the University of Alberta, was about AI and Precision Health. The second presentation by Jacob Jaremko a radiologist, entrepreneur and AI scientist, was about AI augmented ultrasound imaging. The talks were followed by discussion focused on lessons learned, opportunities to collaborate, and sharing of resources.

For the January forum on machine learning in image reconstruction, the first presentation by Ge Wang, a researcher, was about CT image reconstruction and the second presentation by Charlie Millard, a postdoctoral fellow, was about MRI image reconstruction. The talks were followed by discussion focused on lessons learned, opportunities to collaborate, and sharing of resources.

Douglas Lee, a cardiologist and clinician scientist, presented his work on machine learning in COVID-related risk analysis using large-scale population data. Simon Graham, a senior scientist, presented his recent work on COVID-related medical imaging. The talks were followed by a discussion focused on lessons learned, opportunities to collaborate, and sharing of resources.

Richard Do, a radiologist, started the forum with a presentation on natural language processing (NLP) of radiology reports to track metastatic spread. Heidi Hanson, a researcher, talked about NLP in cancer surveillance. The two presentations were followed by discussion focused on lessons learned, opportunities to collaborate, and sharing of resources.

Jaron Chong started the forum with an overview of the state of AI for medical imaging in Canada. The second presentation was by Alex Bilbily talking about the road to building impactful AI medical devices. The third presentation was by Benjamin Fine on pre-deployment evaluation. The three talks was followed by discussion focused on lessons learned, opportunities to collaborate and sharing of resources.