output
20162026
most citedAutomatic Personalized Impression Generation for PET Reports Using Large Language Models

30 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.CL2024★ 11 cited

CARE-SD: Classifier-based analysis for recognizing and eliminating stigmatizing and doubt marker labels in electronic health records: model development and validation

Drew Walker, Annie Thorne, Sudeshna Das +4

Objective: To detect and classify features of stigmatizing and biased language in intensive care electronic health records (EHRs) using natural language processing techniques. Mate…