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May 31, 2024International Journal of Medical InformaticsOpen Access

Advancing ICU patient care with a Real-Time predictive model for mechanical Power to mitigate VILI

Manuel Ruíz-Botella Sara Manrique José M. Gómez María Bodi

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Abstract

Invasive Mechanical Ventilation (IMV) in Intensive Care Units (ICU) significantly increases the risk of Ventilator-Induced Lung Injury (VILI), necessitating careful management of mechanical power (MP). This study aims to develop a real-time predictive model of MP utilizing Artificial Intelligence to mitigate VILI.

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Cite This Study

Ruíz-Botella et al. (2024) studied this question.

synapsesocial.com/papers/68e6763ab6db643587600d65 https://doi.org/10.1016/j.ijmedinf.2024.105511

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1A model of mechanical power in mechanical ventilation and the concept of algorithm for managing VILI riskNarrative Review · 2026
2How to Prevent Ventilator-Induced Lung Injury in Intraoperative Mechanical Ventilation? A Randomized Prospective Study2024
3Machine learning modelling for predicting the utilization of invasive and non‐invasive ventilation throughout the ICU duration2024 · 4 citations
4Mechanical Power as a Predictor of Outcomes During Mechanical Ventilation in Coronavirus Disease 2019 (COVID-19): An Updated Systematic ReviewMeta-Analysis · 2026
5Computer model-based injury prediction and evaluation of lung function in mice with acute and ventilator-induced lung injuries2025

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