Results 191 to 200 of about 58,933 (244)
Development of a benchmarking dataset for symptom detection using large language models. [PDF]
Davis J +5 more
europepmc +1 more source
ABSTRACT Introduction Evidence‐based dosing guidance for medications in critically ill patients with acute kidney injury (AKI) and receiving continuous kidney replacement therapy (CKRT) is limited. Freely available large language models (LLMs) can generate confident, human‐like outputs.
H. Rhodes Hambrick +5 more
wiley +1 more source
Estimating Longitudinal Changes in Workday Happiness From Daily Report Texts Among Employees: Retrospective Feasibility Study. [PDF]
Hayashi J +7 more
europepmc +1 more source
Adapting a Pretrained LLM to Rapidly Recover Earthquake Magnitude and Location
Abstract Determining earthquake magnitude and location through fast, automated methods is fundamental for seismic monitoring. Recent studies have shown that Large Language Models (LLMs) can operate as pattern‐recognition systems capable of handling novel domains and purely numerical tasks.
Aurora Bassani +6 more
wiley +1 more source
Framing the Square: Cinematic Procedures and Visual Regimes in Diamela Eltit's Lumpérica
ABSTRACT This article examines how Diamela Eltit's Lumpérica (1983) constructs a regime of visibility through the spatial organisation of the public square that structures the novel. While criticism has often emphasised the text's linguistic fragmentation and performative dimensions, less attention has been paid to the visual procedures through which ...
Denisse Lazo
wiley +1 more source
Large language models for interpretation of health checkup results. [PDF]
You J, Shin H.
europepmc +1 more source
ABSTRACT Aims Paroxysmal nocturnal haemoglobinuria (PNH) is an ultra‐rare, acquired, non‐malignant haematological disorder that, if left untreated, can lead to significant morbidity. This systematic literature review (SLR) summarized real‐world evidence (RWE) for pegcetacoplan, a complement 3/3b inhibitor (C3i) available since 2021.
Juan Carlos Vallejo Llamas +4 more
wiley +1 more source
AResKGLM: a graph-grounded language-model framework for interpretable multi-hop antimicrobial resistance reasoning. [PDF]
Ren J +3 more
europepmc +1 more source

