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 Stanford de-identifier was trained on a variety of radiology and biomedical documents with the goal of automatising the de-identification process while reaching satisfactory accuracy for use in production. Manuscript in-proceedings. 
 
+These model weights are the recommended ones among all available deidentifier weights.
+
 Associated github repo: https://github.com/MIDRC/Stanford_Penn_Deidentifier
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