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Editorial
. 2025 Mar;51(3):585-589.
doi: 10.1007/s00134-024-07776-y. Epub 2025 Jan 20.

Natural language processing in critical care: opportunities, challenges, and future directions

Bairbre A McNicholas  1 , Michael G Madden  2 , John G Laffey  3   4
Affiliations
Editorial

Natural language processing in critical care: opportunities, challenges, and future directions

Bairbre A McNicholas et al. Intensive Care Med. 2025 Mar.
No abstract available

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Conflict of interest statement

Declarations. Conflicts of interest: JGL reports grants from Science Foundation Ireland and Health Research Board Ireland to his institution, and consulting fees from Cellenkos.

References

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    1. Cadamuro J, Cabitza F, Debeljak Z, De Bruyne S, Frans G, Perez SM, Ozdemir H, Tolios A, Carobene A, Padoan A (2023) Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the understanding of laboratory medicine test results. An assessment by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group on Artificial Intelligence (WG-AI). Clin Chem Lab Med 61:1158–1166 - DOI - PubMed
    1. Weissman GE, Hubbard RA, Ungar LH, Harhay MO, Greene CS, Himes BE, Halpern SD (2018) Inclusion of unstructured clinical text improves early prediction of death or prolonged ICU stay. Crit Care Med 46:1125–1132 - DOI - PubMed - PMC
    1. Jurafsky D, Martin JH (2024) Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition with language models (3rd ed.). MIT Press

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