Fast, Accurate Assignment of Clinical Diagnoses From Patient Notes by a Large Language Model: Critical Pediatric Pneumonia as a Use Case

OBJECTIVE:. To determine the accuracy of a custom version of the generative pretrained transformer (GPT)-4o large language model (LLM) in identifying PICU admissions with vs. without bacterial pneumonia using clinical notes. DESIGN:. In this retrospective cohort study, the GPT-4o model was provided...

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Bibliografische gegevens

Hoofdauteurs:	Blake Martin, MD, Marisa Payan, Jaime LaVelle, RN, Peter E. DeWitt, PhD, Seth Russell, MS, James Mitchell, PhD, Sara J. Deakyne Davies, MPH, Tellen D. Bennett, MD, MS
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Wolters Kluwer 2025-12-01
Reeks:	Critical Care Explorations
Online toegang:	http://journals.lww.com/10.1097/CCE.0000000000001350
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