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Published 01 Feb 2022

Using artificial intelligence to risk stratify COVID-19 patients based on chest X-ray findings.

Author: Diego A. Hipolito Canario, Eric Fromke, Matthew A. Patetta, Mohamed T. Eltilib, Juan P. Reyes-Gonzalez, Georgina Cornelio Rodriguez, Valeria A. Fusco Cornejo, Seymour Duncker, Jessica K. Stewart

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M-qXR correctly identified the presence or absence of pulmonary consolidation in 88% of CXR interpretations (p = 0.48). M-qXR's sensitivity, specificity, PPV, and NPV for detecting pulmonary consolidation were 91%, 84%, 89%, and 86% respectively. M-qXR was found to have comparable accuracy to radiological ground truth in detecting radiographic abnormalities on CXR suggestive of COVID-19.

Authors

Diego A. Hipolito Canario, Eric Fromke, Matthew A. Patetta, Mohamed T. Eltilib, Juan P. Reyes-Gonzalez, Georgina Cornelio Rodriguez, Valeria A. Fusco Cornejo, Seymour Duncker, Jessica K. Stewart

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