Learn about opportunities for engagement and collaboration at T-CAIREM, a national network that engages 23 universities and 90 organizations across Canada in advancing AI in medicine.
This event is open to all University of Waterloo students, faculty, staff, external partners and community members, and will feature a presentation by Dr. Muhammad Mamdani, PharmD, MA, MPH.
About the presentation
Artificial intelligence (AI) is expected to transform health care. Canada is a global leader in AI research and health care, however its research and education talent is spread across many prestigious academic institutions across Canada with limited collaboration. The Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM) has recently been established at the University of Toronto with a major goal to establish a national network focused on the advancement of AI in medicine. This presentation will review the activities of T-CAIREM and provide an overview of the national network that engages 23 universities and over 90 organizations across Canada, making this the largest network for its kind in the world. Efforts are currently focused on: 1) Education activities such as speaker series, curriculum development, trainee rounds and funded studentships, 2) Research activities such as funding opportunities for innovative and applied research in health care, 3) Infrastructure such as the creation of a ‘made for AI’ cloud-based data and analytics platform, and 4) Community engagement activities such as a collaboration forum to bridge clinicians with data scientists. Opportunities for engagement and collaboration will be presented and feedback will be requested on how to improve the reach and activity of the network.
About the speaker
Dr. Muhammad Mamdani is vice-president of Data Science and Advanced Analytics at Unity Health Toronto and director of the University of Toronto Temerty Faculty of Medicine Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM). Dr. Mamdani’s team bridges advanced analytics including machine learning with clinical and management decision making to improve patient outcomes and hospital efficiency. Dr. Mamdani is also Professor in the Department of Medicine of the Temerty Faculty of Medicine, the Leslie Dan Faculty of Pharmacy, and the Institute of Health Policy, Management and Evaluation of the Dalla Lana Faculty of Public Health. He is also adjunct senior scientist at the Institute for Clinical Evaluative Sciences (ICES) and a faculty affiliate of the Vector Institute. In 2010, Dr. Mamdani was named among Canada’s Top 40 under 40. He has published more than 500 studies in peer-reviewed medical journals. Dr. Mamdani obtained a Doctor of Pharmacy degree (PharmD) from the University of Michigan (Ann Arbor) and completed a fellowship in pharmacoeconomics and outcomes research at the Detroit Medical Center. During his fellowship, Dr. Mamdani obtained a Master of Arts degree in Economics from Wayne State University in Detroit, Michigan with a concentration in econometric theory. He then completed a Master of Public Health degree from Harvard University with a concentration in quantitative methods.