Skip to main content
Fig. 5 | BMC Infectious Diseases

Fig. 5

From: Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning

Fig. 5

Prediction of outcomes by use of AI-determined airspace opacity extent (AI-ASOS) using simple logistic regression. A Prediction of outcomes in all patients. AI-ASOS is best at predicting ICU admission (AUC = 0.870, 95% CI 0.834–0.904) and pulmonary mortality (AUC = 0.845, 95% CI 0.802–0.888). B Prediction of outcomes statistics amongst all patients using a multivariate empirically derived model of additional clinical risk factors. Use of AI-ASOS, age, and BMI had a high accuracy for prediction of mortality statistics and ICU admission (AUC = 0.906, 0.896, and 0.880, respectively)

Back to article page