Abstract
COVID-19, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has put health-care systems worldwide into crisis.1 The speed with which health-care resources have been consumed has in some countries exceeded supply of personal protective equipment and ventilators, the unprecedented need for the latter as a result of life-threatening respiratory failure that characterises severe disease.
Highlights
COVID-19, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has put healthcare systems worldwide into crisis.[1]
Among the principal diagnostic imaging modalities, both chest x-ray and CT have quickly produced a large amount of data on COVID-19, enabling the development of machine learning algorithms, a form of artificial intelligence (AI)
Huge datasets emerging from China, and increasingly from European countries, have generated numerous publications reporting AI applications in COVID-19
Summary
COVID-19, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has put healthcare systems worldwide into crisis.[1]. Among the principal diagnostic imaging modalities, both chest x-ray and CT have quickly produced a large amount of data on COVID-19, enabling the development of machine learning algorithms, a form of artificial intelligence (AI). Well before the COVID-19 pandemic, enthusiasm around machine learning-based technology in medical imaging had notably increased.
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