Figure 1.

The framework of predicting progression to critical illness in COVID-19 patients. The workflow mainly consists of five steps: (1) clinical and laboratory data collection; (2) chest CT image acquisition; (3) AI-based quantitative CT analysis; (4) feature selection; and (5) development of clinical, radiological, and combined models using eight machine learning classifiers. The performance of models was evaluated by receiver operating characteristic curve analysis.