Back to search

Article

Large-Language-Model Mortality Risk Stratification in the Intensive Care Unit: A Benchmark Against APACHE II

2025-05-27

Abstract excerpt

<h4>Background</h4> Accurately predicting clinical trajectories in critically ill patients remains challenging due to physiological instability and multisystem organ dysfunction. Traditional prognostic tools, such as the APACHE II score, offer standardized risk assessment but are constrained by static algorithms. This study evaluates the predictive performance and reliability of large language models (LLMs) compar...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
6a221d1c-734d-5fe7-b732-e8bc8139335e
DOI
10.1101/2025.05.14.25327650
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Large-Language-Model Mortality Risk Stratification in the Intensive Care Unit: A Benchmark Against APACHE IIDOI 10.1101/2025.05.14.25327650
Select a neighboring publication to make it the new centre.