Machine Learning for COVID-19 needs global collaboration and data-sharing
Nathan Peiffer‐Smadja, Redwan Maatoug, François-Xavier Lescure, Éric D’Ortenzio, Joëlle Pineau, Jean-Rémi King
Abstract
The COVID-19 pandemic poses a historical challenge to society. The profusion of data requires machine learning to improve and accelerate COVID-19 diagnosis, prognosis and treatment. However, a global and open approach is necessary to avoid pitfalls in these applications.
Topics & Concepts
Coronavirus disease 2019 (COVID-19)Pandemic2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Data sharingComputer scienceData scienceMedicineVirologyInfectious disease (medical specialty)Alternative medicineOutbreakPathologyDiseaseCOVID-19 diagnosis using AIArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging