MIDRC mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographs

The MIDRC mRALE Mastermind Grand Challenge revealed the potential of AI to assess COVID-19 severity from portable CXRs, demonstrating promising performance against the reference standard. The observed variability in mRALE scores highlights the challenges in standardizing severity assessment. These findings contribute to ongoing efforts to develop AI technologies for potential use in clinical practice and offer insights for the enhancement of COVID-19 severity assessment.

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Publication Details

Journal
Journal of Medical Imaging
Published
2025-04-18
DOI
https://doi.org/10.1117/1.jmi.12.2.024505
Citations
1
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
1.36

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article

MIDRC mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographs

Carol C. Wu, Samuel G. Armato, Jayashree Kalpathy-Cramer, Kyle J. Myers et al.
1 citations
Journal of Medical Imaging
COVID-19 diagnosis using AI
1.36
article

MIDRC mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographs

Carol C. Wu, Samuel G. Armato, Jayashree Kalpathy-Cramer, Kyle J. Myers, Benjamin Bearce, George Shih, Adam E. Flanders, Karen Drukker, Robyn L. Ball, Maryellen L. Giger, Heather M. Whitney, Natalie Baughan, Lubomir M. Hadjiiski, the MIDRC Grand Challenge Working Group
article en
1 citations

Abstract

The MIDRC mRALE Mastermind Grand Challenge revealed the potential of AI to assess COVID-19 severity from portable CXRs, demonstrating promising performance against the reference standard. The observed variability in mRALE scores highlights the challenges in standardizing severity assessment. These findings contribute to ongoing efforts to develop AI technologies for potential use in clinical practice and offer insights for the enhancement of COVID-19 severity assessment.

Journal of Medical ImagingVol. 12(02)
The University of Texas MD Anderson Cancer Center (US), Thomas Jefferson University (US), Cornell University (US), University of Michigan (US), University of Chicago (US), Michigan United (US), Jackson Laboratory (US), Weill Cornell Medicine (US), University of Colorado Anschutz Medical Campus (US)
National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering
Gender equality
Openalex Percentile: Top 21%
COVID-19 diagnosis using AI
1.36
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MIDRC mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographs — Carol C. Wu, Samuel G. Armato, et al. · Journal of Medical Imaging (2025) | TGRS Research Map | TGRS