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Performance of a Chest Radiograph AI Diagnostic Tool for COVID-19: A Prospective Observational Study

DOIFull Paper Access

32

Citations

13

References

2022

Year

Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve B. Melton, Nicholas E. Ingraham, Eric Murray, Daniel Boley, Sean Switzer,
Radiology Artificial Intelligence

Abstract

AI-based tools have not yet reached full diagnostic potential for COVID-19 and underperform compared with radiologist prediction.<b>Keywords:</b> Diagnosis, Classification, Application Domain, Infection, Lung <i>Supplemental material is available for this article.</i>. © RSNA, 2022.

References

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