Abstract: There is great excitement about the potential for artificial intelligence to influence health. To date, the most impressive applications of AI in health have been in clinical medicine, such as the development of predictive models based on medical images. Applications of AI in population health, however, have been fewer. In this presentation, I will present a perspective on how AI can have an impact on population health. I will begin by describing population health, along with key considerations in population health such as equity, and identifying opportunities AI. Through examples in clinical and community contexts, I will then illustrate these opportunities along with challenges to advancing population health through the application of AI.
David Buckeridge is a Professor of Epidemiology and Biostatistics at McGill University in Montreal where he holds the Canadian Institutes of Health Research (CIHR) Applied Public Health Chair in eHealth Interventions. He also directs the Research Data Warehouse at the McGill University Health Center and is a medical informatics consultant to the Quebec Institute for Excellence in Health and Social Services. As a clinician-scientist in public health, his research and practice focus on the informatics of public health surveillance and disease control. At McGill, Dr Buckeridge directs the Surveillance Lab, which is an interdisciplinary group of over twenty students and staff with a mission to develop, implement, and evaluate novel computational methods for public health surveillance. He has a M.D. from Queen's University, a M.Sc. in Epidemiology from the University of Toronto, and a Ph.D. in Biomedical informatics from Stanford University.
