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Fig. 3 | BMC Infectious Diseases

Fig. 3

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

Fig. 3

Prediction of Positive SARS-CoV-2 PCR by extent of AI-determined airspace disease. A Logistic probability plot of positive SARS-CoV-2 PCR as a function of AI-determined airspace extent. Median airspace extent (40%) had just under 50% probability of a concurrent positive PCR. McFadden R2 = 0.412. B ROC curve for prediction of SARS-CoV-2 PCR positivity in comparison to radiologist impression of airspace extent. Radiologist (AUC = 0.936, 95% CI 0.918–0.960) and AI (AUC = 0.890, 95% CI 0.861–0.920) annotations were both highly accurate

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