Evaluation of Large-Language Models for Structured Feature Extraction of Anatomic and Clinical Pathology Reports
These findings suggest that LLM tools can provide significant value in automating time- and cost-intensive clinical note feature extraction and annotation.
Authors
- Noah G. Hoffman (ORCID: https://orcid.org/0000-0001-6791-7727)
- Shreeram Akilesh (ORCID: https://orcid.org/0000-0003-3152-7991)
- Brody H. Foy (ORCID: https://orcid.org/0000-0003-0127-7311)
- Aanand A. Patel (ORCID: https://orcid.org/0000-0002-1509-9950)
- Michael W Keebaugh
- Kelly D Smith
- Liang Lu
- Olivia L Vargas
Institutions
- University of Washington (US)
Publication Details
- Journal
- Clinical Chemistry
- Published
- 2026-01-13
- DOI
- https://doi.org/10.1093/clinchem/hvag006
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00