Teaching Artificial Intelligence to diagnose COVID-19

The new dataset contains more than 1,000 anonymised sets of chest CT scans. This expands on the earlier database of CT studies of patients with laboratory-confirmed infection created by scientists at the Diagnostics and Telemedicine Centre. The data set aims to inform AI to diagnose COVID-19. The dataset is the largest to date, and all CT studies in the dataset have a special marking made according to the classification, which reflects the manifestation of pathological abnormalities of COVID-19 in the lung tissue based on the chest computed tomography. According to experts at the Diagnostics and Telemedicine Center, a database with CT scans converted into the'research' Neuroimaging Informatics Technology Initiative (NIFTI) format is intended for developing artificial intelligence algorithms.