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News/Can Large Language Models Reliably Extract Physiology Index Values from Coronary Angiography Reports?
arxiv
PublishedApril 16, 2026 at 4:00 AM
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Can Large Language Models Reliably Extract Physiology Index Values from Coronary Angiography Reports?

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2604.13077v1 Announce Type: new Abstract: Coronary angiography (CAG) reports contain clinically relevant physiological measurements, yet this information is typically in the form of unstructured natural language, limiting its use in research. We investigate the use of Large Language Models (LL

Models mentioned
01
  • 01meta-llama logo
    Llama-3.1-70B
    meta-llama/Llama-3.1-70B
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Discussion
Mentioned models
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  • 01
    Llama-3.1-70B
    meta-llama/Llama-3.1-70B
  • 02
    GPT-OSS
  • 03
    MedGemma
  • 04
    MedLlama
Source
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arxiv
Read original ↗All from arxiv →
Tags
04
#medical-text#language-models#information-extraction#portuguese-language

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Mentioned models
04
  • 01
    Llama-3.1-70B
    meta-llama/Llama-3.1-70B
  • 02
    GPT-OSS
  • 03
    MedGemma
  • 04
    MedLlama
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#medical-text#language-models#information-extraction#portuguese-language

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