CompOSER-LLM, an enhanced sepsis prediction system that integrates a large language model (LLM) that analyzes clinical notes to provide contextual support for sepsis risk assessment in two emergency departments within a large academic health system, is implemented.
Claire E. Allison, Xiao-Lei Lu, A. Boussina et al.· npj Health Systems· 0 citations
A response-aware patient dynamics model that explicitly represents physiological change during autoregressive state updating is proposed that achieves comparable overall trajectory prediction to patient dynamics baselines, with more consistent improvements when physiological states are changing.
DETERIO-LLM, a hybrid prediction model that selectively integrates large language models with a deep learning model to reclassify borderline-risk alerts using narrative clinical notes, substantially improves clinical utility through a marked reduction in false-positive cases, which is critical for mitigating alert fati...
G. Ghanbari, Joseph C Ahn, Eileen Kim et al.· JAMIA Open· 0 citations
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