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Leveraging large language models for structured information extraction from pathology reports
6
Zitationen
7
Autoren
2025
Jahr
Abstract
We developed an open-source tool for structured information extraction that demonstrated expert human-level accuracy in our evaluation using state-of-the-art LLMs. The tool can be customized by non-programmers using natural language and the modular design enables reuse for diverse extraction tasks to produce standardized, structured data facilitating analytics through improved accessibility and interoperability.
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