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Heart, Lung and Circulation

Machine Learning in Paediatric Cardiac Surgery: Ready for Prime Time?

Published:January 13, 2022DOI:https://doi.org/10.1016/j.hlc.2021.12.005
      Machine learning (ML) is a branch of artificial intelligence which involves ‘learning’ the complex relationships between predictors and outcomes. Despite wide availability, these techniques have been rarely implemented into everyday clinical practice. The use of ML in paediatric cardiac surgery is even rarer. The time has come to employ ML to develop risk adjustment models for patient prognosis and benchmarking as a natural starting point for real-time personalised risk prediction in paediatric cardiac surgery.

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