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According to international guidelines and the global experience, chest CT has significant value in diagnostic workup and triage of patients with viral pneumonia (COVID-19). Experience shows that subjective quantification of ground-glass opacities (GGO) could be quite variable. Dedicated artificial intelligence (AI) software is used for accurate detection and quantification of ground-glass opacities areas.The study's objective was to compare the diagnostic performance of radiologists and AI in the quantification of ground-glass opacities in COVID-19 patients and to estimate the influence of artificial intelligence (after the learning period ) on the doctor's ability to grade ground-glass opacities.