Article

Developing and externally validating machine learning models to forecast short-term risk of ventilator-associated pneumonia

2026-01-30

Abstract excerpt

<h4>Purpose</h4> Ventilator-associated pneumonia (VAP) remains one of the most serious hospital-acquired infections in the intensive care unit (ICU), with high morbidity and mortality. Early identification of patients at risk for developing VAP could enable timely diagnostics and intervention. However, current clinical tools are limited in their ability to detect early physiologic signals preceding VAP onset. We...

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Literature Corpus work: 3346d97c-2ede-58a3-8667-2bf73ea14650
DOI: 10.64898/2026.01.28.26344858

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