Diagnostic accuracy of AI in chest radiography for pneumonia and lung cancer: A meta-analysis

AI algorithms demonstrate high diagnostic accuracy for pneumonia on CXR and can markedly increase the detection of occult lung nodules when used as a second reader. However, performance varies by lesion characteristics. Overall, AI has strong potential to enhance clinical chest radiograph interpretation.

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Publication Details

Journal
European Journal of Radiology Open
Published
2025-11-05
DOI
https://doi.org/10.1016/j.ejro.2025.100701
Primary Topic
COVID-19 diagnosis using AI
Type
article
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article

Diagnostic accuracy of AI in chest radiography for pneumonia and lung cancer: A meta-analysis

Mohammed Elmujtba Adam Essa
European Journal of Radiology Open
COVID-19 diagnosis using AI
article

Diagnostic accuracy of AI in chest radiography for pneumonia and lung cancer: A meta-analysis

Mohammed Elmujtba Adam Essa
article en

Abstract

AI algorithms demonstrate high diagnostic accuracy for pneumonia on CXR and can markedly increase the detection of occult lung nodules when used as a second reader. However, performance varies by lesion characteristics. Overall, AI has strong potential to enhance clinical chest radiograph interpretation.

European Journal of Radiology OpenVol. 15
Al Fashir University (SD), Cancer Research Institute of the Slovak Academy of Sciences (SK)
Openalex Percentile: Top 48%
COVID-19 diagnosis using AI
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