Gender biases in medical algorithms can lead to disparities in healthcare quality. Algorithms designed to predict health outcomes or recommend treatments might perform differently for different genders if they are not adequately trained on diverse datasets. This could lead to misdiagnoses or less effective healthcare interventions for certain genders.
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