Results 111 to 120 of about 1,258,685 (277)

Stochastic Parrots or ICU Experts? Large Language Models in Critical Care Medicine: A Scoping Review [PDF]

open access: yesarXiv
With the rapid development of artificial intelligence (AI), large language models (LLMs) have shown strong capabilities in natural language understanding, reasoning, and generation, attracting amounts of research interest in applying LLMs to health and medicine.
arxiv  

Use of Hemoadsorption and Continuous Venovenous Hemodialysis With Enhanced Middle Molecule Clearance in Drug-Induced Rhabdomyolysis

open access: yesCase Reports in Critical Care
Drug-induced rhabdomyolysis has become increasingly prevalent due to the rising use of medications such as statins, antidepressants, and antipsychotics.
Sebastian Hafner   +4 more
doaj   +1 more source

Exploiting routinely collected severe case data to monitor and predict influenza outbreaks [PDF]

open access: yesarXiv, 2017
Influenza remains a significant burden on health systems. Effective responses rely on the timely understanding of the magnitude and the evolution of an outbreak. For monitoring purposes, data on severe cases of influenza in England are reported weekly to Public Health England.
arxiv  

Stress in nursing staff: a comparative analysis between intensive care units and general medicine units [PDF]

open access: gold, 2000
Davide Chiumello   +6 more
openalex   +1 more source

Transfer Learning for Individualized Treatment Rules: Application to Sepsis Patients Data from eICU-CRD and MIMIC-III Databases [PDF]

open access: yesarXiv
Modern precision medicine aims to utilize real-world data to provide the best treatment for an individual patient. An individualized treatment rule (ITR) maps each patient's characteristics to a recommended treatment scheme that maximizes the expected outcome of the patient.
arxiv  

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