Leveraging large language models for patient-ventilator asynchrony detection

Leveraging large language models for patient-ventilator asynchrony detection

Objectives The objective of this study is to evaluate whether large language models (LLMs) can achieve performance comparable to expert-developed deep neural networks in detecting flow starvation (FS) asynchronies during mechanical ventilation.Methods Popular LLMs (GPT-4, Claude-3.5, Gemini-1.5, Dee...

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Main Authors: Lluis Blanch, Francesc Suñol, Candelaria de Haro, Verónica Santos-Pulpón, Sol Fernández-Gonzalo, Josefina López-Aguilar, Leonardo Sarlabous
Format: Article
Language:English
Published: BMJ Publishing Group 2025-06-01
Series:BMJ Health & Care Informatics
Online Access:https://informatics.bmj.com/content/32/1/e101426.full
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