Aladdin Healthcare Technologies SE has successfully developed a fully automated deep learning process for the detection of COVID-19-infected regions in only four months, since March 2020. The technology can prevent false diagnoses of laboratory tests and, for example, distinguish pneumonia from COVID-19 cases. COVID-19 disease can be fatal because the alveoli are severely damaged and progressive respiratory failure can occur. The risk of fatality in China is 4.03%. The highest rates so far have been found in Algeria (13.04%) and Italy (12.67%). Laboratory tests, e.g. using reverse transcription polymerase chain reaction (RT-PCR), have so far been the gold standard for clinical diagnosis, but may produce false negative results. Under the pandemic situation, a lack of testing resources may delay diagnosis and treatment. Under such circumstances, chest CT imaging has become a valuable tool for both diagnosis and prognosis of COVID-19 patients. The method minimizes the requirements for manual labeling of CT images and at the same time allows accurate infection detection. It distinguishes COVID-19 from non-COVID-19 cases.