Artificial Intelligence and the COVID-19 Pandemic
Intersection of Artificial Intelligence and the COVID-19 Pandemic: A Rapid Review
Project Status:Complete
Knowledge User(s)
Public Health Agency of Canada
Patient/Public Partner(s)
Juanita García, Sandra Moroz
Project Trainee(s)
Juan Camilo Martínez, Ana Maria Perez-Gutierrez
Funding Source(s)
- Canadian Institutes of Health Research (CIHR) through COVID-END
Project Objectives
To provide evidence on where artificial intelligence and emerging digital technologies can potentially add value in COVID-19 responses to mitigate, control, or prevent COVID-19 and its consequences.
Research Approach
Rapid Review
Project Lead(s)
Ivan Florez
Pediatrician with a Master’s degree Clinical Epidemiology and a PhD in Health Research Methodology. He is full Professor at the Department of Pediatrics at University of Antioquia (Medellin, Colombia), and Assistant professor (part-time) at McMaster University (Hamilton, Canada). He is the current leader of the Appraisal of Guidelines for Research & Evaluation (AGREE) Collaboration, Director of Cochrane Colombia, and the Editor-in-Chief of the Clinical and Public Health Guidelines journal. He is also Editorial Board member of the following Journals: Journal of Clinical Epidemiology, Pediatric Discovery, Cochrane Evidence Synthesis & Methods and the Journal of the American Heart Association. His research is focused on evidence synthesis methods, systematic reviews, network meta-analyses, clinical practice guidelines, and pediatrics.
Ivan Florez
University of Antioquia, McMaster University
Pediatrician with a Master’s degree Clinical Epidemiology and a PhD...