AI and machine learning models in healthcare are only as unbiased as the data they are trained on. If the data contains implicit racial, gender, or socioeconomic biases, the algorithms could perpetuate or even exacerbate these biases. This can lead to unequal healthcare outcomes among different demographic groups, raising ethical concerns about fairness and justice in healthcare provision.
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