Intersection de l’intelligence artificielle et de la pandémie de COVID-19 – Revue rapide
Statut du projet: Terminé
Utilisateur(s) des connaissances
Agence de la santé publique du Canada
Patient/Public Partner(s)
Juanita García, Sandra Moroz
Project Trainee(s)
Juan Camilo Martínez, Ana Maria Perez-Gutierrez
Source(s) de financement
Réseau canadien des soins aux personnes fragilisées, Canadian Institutes of Health Research (CIHR) through COVID-END
Objectif du projet
Fournir des données probantes sur la façon dont l’intelligence artificielle et les technologies numériques émergentes peuvent contribuer aux interventions visant à atténuer, à maîtriser ou à prévenir la COVID-19 et ses conséquences.
Approche de recherche
Revue rapide
Responsables du projet
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…