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VA-ECMO outcome scores have been previously developed and used extensively for risk adjustment, patient prognostication, and quality control across time and centres. The limitation of such scores is the derivation by using traditional statistical methods which are not capable of covering the complexity of ECMO outcomes. The Extracorporeal Life Support Organization Member Centres have developed a study where they aimed to leverage a large international patient cohort to develop and validate an AI-driven tool for predicting in-hospital mortality of VA-ECMO. The tool was derived entirely from pre-ECMO variables, allowing for mortality prediction immediately after ECMO initiation.

To learn more about this study listen to the podcast.

Original article: ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation