Jude Kong, York University

Abstract

[Presentation Slides]

AI  can help face healthcare needs and challenges, being the catalyst for a profound transformation in the healthcare arena  and helping improve efficiency, effectiveness, and responsiveness, as well as equity in the delivery of public health and healthcare services, by developing and facilitating current practices, and by introducing new methods of surveillance and action both at the individual (clinical medicine) and community/population (public and global health) levels.   AI is anticipated to uncover new links between climate, climate-related disaster exposure, and the burden of disease (especially, in terms of mental health), helping policy- and decision-makers particularly in low- and middle-income countries (LMICs), such as those belonging to the Global South to achieve SDG3 ("health and wellbeing for all") and SDG5 ("gender equality") . In this talk, I will present an AI-based framework and AI-based algorithms that we designed for achieving SDG3 and SDG5  in the Global South, leveraging and capitalizing on our experience with the “Africa-Canada Artificial Intelligence and Data Innovation Consortium” (ACADIC) Project.