Chest X-ray AI Models May Exploit Exposure Parameters as Shortcuts Across Pneumothorax, COVID-19, and Race Tasks

Retrospective analysis across 3 large CXR datasets found deep learning models can use radiographic exposure parameters as shortcut features, introducing bias in pneumothorax detection, COVID-19 diagnosis, and race classification. Specific effect sizes were not reported in the so…

• Retrospective study using MIMIC-CXR, MIDRC, and EmoryCXR datasets; total sample size not reported in the provided abstract.
• Exposure parameters acted as confounders, but the magnitude of bias under controlled vs. natural regimes was not quantified in the available snippet.
• Limitations: retrospective design, potential dataset-specific confounds, and no mention of external or prospective validation.

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