Although the senior reader’s diagnostic performance improved from an AUC of 0.768 to 0.867, this difference did not reach statistical significance ( p = 0.10).
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An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via <sup>18</sup>F-FDG PET/CT: a multicenter study.
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