Background Recent studies have suggested that chest computed tomography (CT) scans could be used as a primary screening or diagnostic tool for coronavirus disease 2019 (COVID-19) in epidemic areas....

Key Points • Novel coronavirus (COVID-19)-infected pneumonia usually manifests as bilateral ground-glass opacities in the lung periphery on chest CT scans. • Role of radiologists includes not only early detection of lung abnormality, but also suggestion of disease severity, potential progression to acute respiratory distress syndrome, and possible bacterial co-infection in hospitalized patients.

Park SY, et al. Korean J Radiol. 2021 Jul;22:e88. https://doi.org/10.3348/kjr.2021.0223

A deep learning model for preoperative chest CT predicted disease-free survival in patients with lung adenocarcinoma. Background Deep learning models have the potential for lung cancer prognostication, but model output as an independent prognostic factor must be validated with clinical risk factors. Purpose To dev...

A deep learning algorithm detected lung cancer nodules on chest radiographs with a performance comparable to that of radiologists, which will be helpful for radiologists in healthy populations with... Background The performance of a deep learning algorithm for lung cancer detection on chest radiographs in a health screening population is unknown. Purpose To validate a commercially available deep...

Yoon SH, et al. Korean J Radiol. 2020 Jul;21:e174. https://doi.org/10.3348/kjr.2020.0137