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Benchmarking LLM-based Information Extraction Tools for Medical Documents
2026-01-22
health informatics
Title + abstract only
View on medRxiv
Show abstract
MotivationMedical documents are a crucial resource for medical research around the world. While troves of valuable health data exist, they are largely computationally inaccessible as hard copies of unstructured text. Moreover, the persistent prevalence of fax machines in medical settings contributes to further degradation of document quality. Digitization of these resources through manual data extraction is time-consuming and resource intensive. However, large language models (LLMs) have recentl...
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