Artificial Intelligence in Health: Research and Applications in Toronto

While the application of artificial intelligence (AI) has transformed numerous sectors including retail, transportation, and hospitality, its application to health has been limited. The Toronto community is well-positioned to advance AI research and application given its strengths in relevant disciplines such as medicine, allied health, computer science, mathematics, engineering, and statistics. This talk will provide an overview of the newly established Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM) of the University of Toronto and present examples of applied AI research and translation. A particular focus on AI translation will provide attendees with a deeper appreciation of the complexity of AI applications in health.

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About Muhammad Mamdani

Dr. 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 a 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 an 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 over 500 studies in peer-reviewed medical journals.