AI algorithms are vulnerable to hidden stratification, often underperforming in underrepresented subgroups such as those with subtle visual features, spurious correlates, or when subgroups are imbalanced or have variable accuracy [1]. External validation focusing on clinically relevant subgroups is the most reliable way to uncover hidden stratification. Fig. 1..

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