Coronavirus disease 2019 (COVID-19) is typically confirmed by reverse-transcription polymerase chain reaction (RT-PCR) testing. However, RT-PCR has some problems of its accuracy and required time. In this paper , authors aimed to develop and externally validate a novel machine learning model that can classify CT image as COVID-19 or non-COVID-19. They used 2,928 images from a wide variety of case-control type data sources for the development. In external validation, proposed model exhibited a high sensitivity in external validation datasets. The model may help physicians to rule out COVID-19 in a timely manner at emergency departments. Further studies are warranted to improve model specificity.
 Kataoka, Yuki, et al. “Development and external validation of a deep learning-based computed tomography classification system for COVID-19.” Annals of Clinical Epidemiology (2022): 22014.
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