Severe/critical COVID-19 early warning system based on machine learning algorithms using novel imaging scores.

Background: Early identification of severe/critical coronavirus disease 2019 (COVID-19) is crucial for timely treatment and intervention. Chest computed tomography (CT) score has been shown to be a significant factor in the diagnosis and treatment of pneumonia, however, there is currently a lack of effective early warning systems for severe/critical COVID-19 based on dynamic CT evolution.

Aim: To develop a severe/critical COVID-19 prediction model using a combination of imaging scores, clinical features, and biomarker levels.