Figure 1.

Three interrelated fairness quandaries and one fairness dilemma related to obtaining machine learning (ML) fairness in health are identified in this ethical analysis. A meaningful conceptualisation of ML fairness, which can be implemented to avoid inequitable patient outcomes, must reflect this complex, intertangled nexus of fairness concerns. This figure is made by the first author.