Dr. Muhammad Mamdani - AI Research in Healthcare Policy and Education

Dr. Mamdani is a professor, pharmacist, and epidemiologist. He is the Vice President of Data Science and Advanced Analytics at Unity Health Toronto and Director of the University of Toronto Temerty 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 Temerty Faculty of Medicine, the Leslie Dan Faculty of Pharmacy, and the Institute of Health Policy, Management and Evaluation of the Dalla Lana School of Public Health at the University of Toronto. He is also a Faculty Affiliate of the Vector Institute. He has published over 500 studies in peer-reviewed journals.

Host: Raeesa Kabir 

Audio Producer: Melanie Bussan

Video Editor + Art: Saurin Kantesaria

Instagram: saorange314

Social Media: Nikhil Kapur

Time Stamps:

0:00 Dr. Mamdani’s Background and Career Path

9:30 Where current data driven medicine strategies fall short and how AI can step in

17:00 How Dr. Mamdani’s work in AI and machine learning began

22:00 Applied Health Research Center and the Ontario Policy Research Network

28:45 The impact of utilizing machine learning and AI at the level of patient care - Chart Watch

35:50 Logistics of Developing and Implementing AI solutions

39:10 Insights Gained - From Purpose to Implementation

43:30 Directing Multiple Projects - Recruitment of AI Team 

47:45 Future Projects: Back to AI Basics 

54:15 Future of AI in Medicine - Fostering trust in AI

57:20 Advice to Younger Self