THE FUTURE IS NOW: ARTIFICIAL INTELLIGENCE IN FAMILY MEDICINE

Join us in our six part monthly webinar series featuring family medicine leaders in Canada who will share their expertise in machine learning, natural language processing (teaching computers to understand human language), ethics, and AI research.

This one-credit-per hour Group Learning activity has been certified by CFPC for up to one Mainpro+® credit for each webinar session.

Title: Machine Learning for Human Resource Management & to Predict Health Service Use

Details: 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 Education and Research 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 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, which is a leading institution for artificial intelligence research in Canada.

Dr. Mamdani was also the Founding Director of the Li Ka Shing Centre for Healthcare Analytics Research and Training (LKS-CHART) of Unity Health Toronto and the Founding Director of the Applied Health Research Centre (AHRC) of the Li Ka Shing Knowledge Institute of Unity Health Toronto, which is Toronto’s leading academic research organization focused on the design and implementation of multicentre clinical research initiatives. In 2010, Dr. Mamdani was named among Canada’s Top 40 under 40.

Dr. Muhammad Mamdani will discuss the role of machine learning for prediction of health service use.

Register Here