A pilot feasibility study comparing large language models in extracting key information from ICU patient text records from an Irish population

A pilot feasibility study comparing large language models in extracting key information from ICU patient text records from an Irish population

Abstract Background Artificial intelligence, through improved data management and automated summarisation, has the potential to enhance intensive care unit (ICU) care. Large language models (LLMs) can interrogate and summarise large volumes of medical notes to create succinct discharge summaries. In...

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Bibliographic Details
Main Authors: Emma Urquhart, John Ryan, Sean Hartigan, Ciprian Nita, Ciara Hanley, Peter Moran, John Bates, Rachel Jooste, Conor Judge, John G. Laffey, Michael G. Madden, Bairbre A. McNicholas
Format: Article
Language:English
Published: SpringerOpen 2024-08-01
Series:Intensive Care Medicine Experimental
Subjects:
Large language models
Medical summaries
Intensive care medicine
Artificial intelligence
Online Access:https://doi.org/10.1186/s40635-024-00656-1
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https://doi.org/10.1186/s40635-024-00656-1

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