Abstract
Background: In 2019, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) was identified in Wuhan, China. The most serious clinical entity associated with SARS-CoV-2 is a severe interstitial pneumonia that can lead to acute respiratory distress. Radiation pneumonitis (RP) is lung radiation toxicity. RP and SARS-CoV-2 interstitial pneumonia show overlapping clinical features. The aim of this study is to test the performance of a deep learning algorithm in discriminating RP from COVID-19 pneumonia.
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