Using Deep Neural Networks for Survival Prediction in VA-ECMO

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Venoarterial extracorporeal membrane oxygenation (VA-ECMO) is a complex and high-risk life support modality used in severe cardiorespiratory failure.

ECMO survival scores are used clinically for patient prognostication and outcomes risk adjustment.

This study aims to create the first artificial intelligence (AI)-driven ECMO survival score to predict in-hospital mortality based on a large international patient cohort.

ECMO PAL is the first AI-powered ECMO survival score trained and validated on large international patient cohorts.

ECMO PAL demonstrated high generalisability across ECMO regions and outperformed existing, widely used scores.

Beyond ECMO, this study highlights how large international registry data can be leveraged for AI prognostication for complex critical care therapies.

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