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News/A Large Language Model Based Pipeline for Review of Systems Entity Recognition from Clinical Notes
arxiv
PublishedMay 15, 2026 at 4:00 AM
▲bullish

A Large Language Model Based Pipeline for Review of Systems Entity Recognition from Clinical Notes

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arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2506.11067v3 Announce Type: replace Abstract: Objective: Develop a cost-effective, large language model (LLM)-based pipeline for automatically extracting Review of Systems (ROS) entities from clinical notes. Materials and Methods: The pipeline extracts ROS section from the clinical note using

Models mentioned
01
  • 01meta-llama logo
    Llama-3.1-70B
    meta-llama/Llama-3.1-70B
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  • 01
    Llama-3.1-70B
    meta-llama/Llama-3.1-70B
  • 02
    Gemma
  • 03
    Mistral
  • 04
    Gpt-oss
Source
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Read original ↗All from arxiv →
Tags
04
#healthcare#language-models#open-source#named-entity-recognition
Mentioned companies
01
IEEE

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Mentioned models
04
  • 01
    Llama-3.1-70B
    meta-llama/Llama-3.1-70B
  • 02
    Gemma
  • 03
    Mistral
  • 04
    Gpt-oss
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#healthcare#language-models#open-source#named-entity-recognition
Mentioned companies
01
IEEE

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