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All evidence

Efficacy of a deep learning-based software for chest X-ray analysis in an emergency department.

Data

404 patients included in the study (74.5% of exams didn’t have any of the ChestView abnormalities)

  • 295 had only CXRs

  • 109 had CXRs + subsequent CT exam

Design

Retrospective single-center study

3 emergency physicians, 1 junior radiologist and 1 general radiologist independently reviewed the CXRs (with available clinical information)

Without AI → Washout ≥ 2 weeks → With AI

Ground truth = consensus between 2 experienced radiologists (with all available clinical and imaging information)

Results

Standalone performance [see study]

Readers

  • DL-assisted reading had a significantly higher combined sensitivity compared to unassisted reading

  • No significant change in the combined specificity between unassisted and assisted readings

  • Most important increase in sensitivity with DL assistance was obtained for nodules (38.1% → 67.6%)

  • Combined sensitivity was higher for bedside CXRs while the specificity and accuracy were significantly lower

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