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cs.CL2025
Clinical Document Metadata Extraction: A Scoping Review
Kurt Miller, Qiuhao Lu, William Hersh +4
Clinical document metadata, such as document type, structure, author role, medical specialty, and encounter setting, is essential for accurate interpretation of information capture…
cs.CL2025
Gender-Neutral Large Language Models for Medical Applications: Reducing Bias in PubMed Abstracts
Elizabeth Schaefer, Kirk Roberts
This paper presents a pipeline for mitigating gender bias in large language models (LLMs) used in medical literature by neutralizing gendered occupational pronouns. A dataset of 37…